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Novus Examples

Edge maps paired with their source photograph

Canny edge maps published beside the exact image they were computed from, at the same resolution, so an edge pipeline can be compared against a known correspondence instead of judged by eye. Includes the degenerate case: a plate with no edges at all.

152 of 152 files
Preview of A av f3: canny edge map
png
45.5 KB
Actual file preview for A av f3: canny edge map

A av f3: canny edge map

A canny edge map for the published plate a-av-f3.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 3.2% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1024 × 1024 px
Preview of A av f4: canny edge map
png
56.2 KB
Actual file preview for A av f4: canny edge map

A av f4: canny edge map

A canny edge map for the published plate a-av-f4.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 4.4% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1024 × 1024 px
Preview of A av f5: canny edge map
png
20.9 KB
Actual file preview for A av f5: canny edge map

A av f5: canny edge map

A canny edge map for the published plate a-av-f5.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 1.2% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1024 × 1024 px
Preview of A av m3: canny edge map
png
58.8 KB
Actual file preview for A av m3: canny edge map

A av m3: canny edge map

A canny edge map for the published plate a-av-m3.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 4.4% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1024 × 1024 px
Preview of A av m4: canny edge map
png
56.3 KB
Actual file preview for A av m4: canny edge map

A av m4: canny edge map

A canny edge map for the published plate a-av-m4.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 4.7% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1024 × 1024 px
Preview of A av m5: canny edge map
png
25.9 KB
Actual file preview for A av m5: canny edge map

A av m5: canny edge map

A canny edge map for the published plate a-av-m5.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 1.5% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1024 × 1024 px
Preview of A av m6: canny edge map
png
42.3 KB
Actual file preview for A av m6: canny edge map

A av m6: canny edge map

A canny edge map for the published plate a-av-m6.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 3.2% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1024 × 1024 px
Preview of A av nb1: canny edge map
png
52 KB
Actual file preview for A av nb1: canny edge map

A av nb1: canny edge map

A canny edge map for the published plate a-av-nb1.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 3.8% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1024 × 1024 px
Preview of A avatar f1: canny edge map
png
49.6 KB
Actual file preview for A avatar f1: canny edge map

A avatar f1: canny edge map

A canny edge map for the published plate a-avatar-f1.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 3.4% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1024 × 1024 px
Preview of A avatar f2: canny edge map
png
34.4 KB
Actual file preview for A avatar f2: canny edge map

A avatar f2: canny edge map

A canny edge map for the published plate a-avatar-f2.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 2.5% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1024 × 1024 px
Preview of A avatar m1: canny edge map
png
23.9 KB
Actual file preview for A avatar m1: canny edge map

A avatar m1: canny edge map

A canny edge map for the published plate a-avatar-m1.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 1.4% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1024 × 1024 px
Preview of A avatar m2: canny edge map
png
60 KB
Actual file preview for A avatar m2: canny edge map

A avatar m2: canny edge map

A canny edge map for the published plate a-avatar-m2.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 4.5% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1024 × 1024 px
Preview of C album abs: canny edge map
png
70.9 KB
Actual file preview for C album abs: canny edge map

C album abs: canny edge map

A canny edge map for the published plate c-album-abs.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 5.8% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1024 × 1024 px
Preview of C album moody: canny edge map
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5.5 KB
Actual file preview for C album moody: canny edge map

C album moody: canny edge map

A canny edge map for the published plate c-album-moody.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 0.1% of the frame. This plate is a smooth gradient with essentially no edges, so the map is almost empty. That is the correct answer, and it ships deliberately as the degenerate case: what an edge detector returns when there is nothing to find. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1024 × 1024 px
Preview of C album retro: canny edge map
png
19.5 KB
Actual file preview for C album retro: canny edge map

C album retro: canny edge map

A canny edge map for the published plate c-album-retro.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 11.8% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1024 × 1024 px
Preview of C book hist: canny edge map
png
101 KB
Actual file preview for C book hist: canny edge map

C book hist: canny edge map

A canny edge map for the published plate c-book-hist.png, 832x1216. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 8.6% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 832 × 1216 px
Preview of C book nature: canny edge map
png
20.2 KB
Actual file preview for C book nature: canny edge map

C book nature: canny edge map

A canny edge map for the published plate c-book-nature.png, 832x1216. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 1.3% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 832 × 1216 px
Preview of C book thrill: canny edge map
png
58.4 KB
Actual file preview for C book thrill: canny edge map

C book thrill: canny edge map

A canny edge map for the published plate c-book-thrill.png, 832x1216. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 5.6% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 832 × 1216 px
Preview of D clipboard: canny edge map
png
33 KB
Actual file preview for D clipboard: canny edge map

D clipboard: canny edge map

A canny edge map for the published plate d-clipboard.png, 832x1216. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 4.0% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 832 × 1216 px
Preview of D invoice: canny edge map
png
73.3 KB
Actual file preview for D invoice: canny edge map

D invoice: canny edge map

A canny edge map for the published plate d-invoice.png, 1216x832. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 6.9% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1216 × 832 px
Preview of D ledger: canny edge map
png
28.7 KB
Actual file preview for D ledger: canny edge map

D ledger: canny edge map

A canny edge map for the published plate d-ledger.png, 1216x832. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 2.5% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1216 × 832 px
Preview of D menu: canny edge map
png
42.4 KB
Actual file preview for D menu: canny edge map

D menu: canny edge map

A canny edge map for the published plate d-menu.png, 1216x832. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 3.5% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1216 × 832 px
Preview of D receipts: canny edge map
png
128.3 KB
Actual file preview for D receipts: canny edge map

D receipts: canny edge map

A canny edge map for the published plate d-receipts.png, 1216x832. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 11.5% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1216 × 832 px
Preview of F bread rustic: canny edge map
png
88 KB
Actual file preview for F bread rustic: canny edge map

F bread rustic: canny edge map

A canny edge map for the published plate f-bread-rustic.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 8.2% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1024 × 1024 px
Preview of F coffee pour: canny edge map
png
39.4 KB
Actual file preview for F coffee pour: canny edge map

F coffee pour: canny edge map

A canny edge map for the published plate f-coffee-pour.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 2.8% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1024 × 1024 px
Preview of F plate pasta: canny edge map
png
94.6 KB
Actual file preview for F plate pasta: canny edge map

F plate pasta: canny edge map

A canny edge map for the published plate f-plate-pasta.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 7.1% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1024 × 1024 px
Preview of F plate salad: canny edge map
png
115.3 KB
Actual file preview for F plate salad: canny edge map

F plate salad: canny edge map

A canny edge map for the published plate f-plate-salad.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 9.3% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1024 × 1024 px
Preview of G char knight: canny edge map
png
45.2 KB
Actual file preview for G char knight: canny edge map

G char knight: canny edge map

A canny edge map for the published plate g-char-knight.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 3.3% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1024 × 1024 px
Preview of G char mage: canny edge map
png
62.6 KB
Actual file preview for G char mage: canny edge map

G char mage: canny edge map

A canny edge map for the published plate g-char-mage.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 5.1% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1024 × 1024 px
Preview of G char scifi: canny edge map
png
51.5 KB
Actual file preview for G char scifi: canny edge map

G char scifi: canny edge map

A canny edge map for the published plate g-char-scifi.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 4.1% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1024 × 1024 px
Preview of G dungeon: canny edge map
png
57.1 KB
Actual file preview for G dungeon: canny edge map

G dungeon: canny edge map

A canny edge map for the published plate g-dungeon.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 4.8% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1024 × 1024 px
Preview of G fantasy keep: canny edge map
png
41.1 KB
Actual file preview for G fantasy keep: canny edge map

G fantasy keep: canny edge map

A canny edge map for the published plate g-fantasy-keep.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 2.8% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1024 × 1024 px
Preview of G isometric: canny edge map
png
96 KB
Actual file preview for G isometric: canny edge map

G isometric: canny edge map

A canny edge map for the published plate g-isometric.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 8.0% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1024 × 1024 px
Preview of G lowpoly isle: canny edge map
png
69.5 KB
Actual file preview for G lowpoly isle: canny edge map

G lowpoly isle: canny edge map

A canny edge map for the published plate g-lowpoly-isle.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 5.0% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1024 × 1024 px
Preview of G pixel scene: canny edge map
png
69.1 KB
Actual file preview for G pixel scene: canny edge map

G pixel scene: canny edge map

A canny edge map for the published plate g-pixel-scene.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 6.7% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1024 × 1024 px
Preview of G platformer: canny edge map
png
63 KB
Actual file preview for G platformer: canny edge map

G platformer: canny edge map

A canny edge map for the published plate g-platformer.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 5.2% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1024 × 1024 px
Preview of G racing track: canny edge map
png
74.4 KB
Actual file preview for G racing track: canny edge map

G racing track: canny edge map

A canny edge map for the published plate g-racing-track.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 6.6% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1024 × 1024 px
Preview of G scifi corr: canny edge map
png
49.9 KB
Actual file preview for G scifi corr: canny edge map

G scifi corr: canny edge map

A canny edge map for the published plate g-scifi-corr.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 6.4% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1024 × 1024 px
Preview of G voxel city: canny edge map
png
105.8 KB
Actual file preview for G voxel city: canny edge map

G voxel city: canny edge map

A canny edge map for the published plate g-voxel-city.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 10.7% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1024 × 1024 px
Preview of Invoice desk: canny edge map
png
96.5 KB
Actual file preview for Invoice desk: canny edge map

Invoice desk: canny edge map

A canny edge map for the published plate invoice-desk.png, 1216x832. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 10.5% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1216 × 832 px
Preview of L bridge: canny edge map
png
109.4 KB
Actual file preview for L bridge: canny edge map

L bridge: canny edge map

A canny edge map for the published plate l-bridge.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 11.6% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1024 × 1024 px
Preview of L city sky: canny edge map
png
37.9 KB
Actual file preview for L city sky: canny edge map

L city sky: canny edge map

A canny edge map for the published plate l-city-sky.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 3.7% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1024 × 1024 px
Preview of L coast: canny edge map
png
70.7 KB
Actual file preview for L coast: canny edge map

L coast: canny edge map

A canny edge map for the published plate l-coast.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 7.1% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1024 × 1024 px
Preview of L forest path: canny edge map
png
122.7 KB
Actual file preview for L forest path: canny edge map

L forest path: canny edge map

A canny edge map for the published plate l-forest-path.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 12.1% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1024 × 1024 px
Preview of L interior mod: canny edge map
png
59.3 KB
Actual file preview for L interior mod: canny edge map

L interior mod: canny edge map

A canny edge map for the published plate l-interior-mod.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 8.1% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1024 × 1024 px
Preview of L mountain: canny edge map
png
40.5 KB
Actual file preview for L mountain: canny edge map

L mountain: canny edge map

A canny edge map for the published plate l-mountain.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 3.0% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1024 × 1024 px
Preview of L stairwell: canny edge map
png
40.6 KB
Actual file preview for L stairwell: canny edge map

L stairwell: canny edge map

A canny edge map for the published plate l-stairwell.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 2.8% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1024 × 1024 px
Preview of L street eu: canny edge map
png
99.2 KB
Actual file preview for L street eu: canny edge map

L street eu: canny edge map

A canny edge map for the published plate l-street-eu.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 13.5% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1024 × 1024 px
Preview of Ledger book: canny edge map
png
40.8 KB
Actual file preview for Ledger book: canny edge map

Ledger book: canny edge map

A canny edge map for the published plate ledger-book.png, 1216x832. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 3.5% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

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PNG · Ai Vision · 1216 × 832 px
Preview of Meeting table: canny edge map
png
48.1 KB
Actual file preview for Meeting table: canny edge map

Meeting table: canny edge map

A canny edge map for the published plate meeting-table.png, 1216x832. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 3.8% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1216 × 832 px
Preview of Menu table: canny edge map
png
38.8 KB
Actual file preview for Menu table: canny edge map

Menu table: canny edge map

A canny edge map for the published plate menu-table.png, 1216x832. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 3.3% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1216 × 832 px
Preview of N birds feed: canny edge map
png
29.2 KB
Actual file preview for N birds feed: canny edge map

N birds feed: canny edge map

A canny edge map for the published plate n-birds-feed.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 2.6% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of N cat window: canny edge map
png
50.9 KB
Actual file preview for N cat window: canny edge map

N cat window: canny edge map

A canny edge map for the published plate n-cat-window.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 4.0% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of N dog park: canny edge map
png
69.7 KB
Actual file preview for N dog park: canny edge map

N dog park: canny edge map

A canny edge map for the published plate n-dog-park.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 5.3% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of N fish tank: canny edge map
png
61.6 KB
Actual file preview for N fish tank: canny edge map

N fish tank: canny edge map

A canny edge map for the published plate n-fish-tank.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 5.1% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of N horse field: canny edge map
png
32.9 KB
Actual file preview for N horse field: canny edge map

N horse field: canny edge map

A canny edge map for the published plate n-horse-field.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 2.3% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of N sheep hill: canny edge map
png
48.9 KB
Actual file preview for N sheep hill: canny edge map

N sheep hill: canny edge map

A canny edge map for the published plate n-sheep-hill.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 3.6% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of Office desk: canny edge map
png
25.7 KB
Actual file preview for Office desk: canny edge map

Office desk: canny edge map

A canny edge map for the published plate office-desk.png, 1216x832. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 2.1% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1216 × 832 px
Preview of Owner cafe: canny edge map
png
40.4 KB
Actual file preview for Owner cafe: canny edge map

Owner cafe: canny edge map

A canny edge map for the published plate owner-cafe.png, 832x1216. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 3.6% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 832 × 1216 px
Preview of Owner market: canny edge map
png
82.5 KB
Actual file preview for Owner market: canny edge map

Owner market: canny edge map

A canny edge map for the published plate owner-market.png, 1216x832. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 7.3% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1216 × 832 px
Preview of Owner restaurant: canny edge map
png
60 KB
Actual file preview for Owner restaurant: canny edge map

Owner restaurant: canny edge map

A canny edge map for the published plate owner-restaurant.png, 832x1216. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 5.9% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 832 × 1216 px
Preview of Owner salon: canny edge map
png
33.6 KB
Actual file preview for Owner salon: canny edge map

Owner salon: canny edge map

A canny edge map for the published plate owner-salon.png, 832x1216. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 2.5% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 832 × 1216 px
Preview of Owner shop: canny edge map
png
81.9 KB
Actual file preview for Owner shop: canny edge map

Owner shop: canny edge map

A canny edge map for the published plate owner-shop.png, 832x1216. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 7.2% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 832 × 1216 px
Preview of Owner trades: canny edge map
png
32.2 KB
Actual file preview for Owner trades: canny edge map

Owner trades: canny edge map

A canny edge map for the published plate owner-trades.png, 832x1216. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 3.7% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 832 × 1216 px
Preview of P accountant: canny edge map
png
46 KB
Actual file preview for P accountant: canny edge map

P accountant: canny edge map

A canny edge map for the published plate p-accountant.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 3.7% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of P baker young: canny edge map
png
47 KB
Actual file preview for P baker young: canny edge map

P baker young: canny edge map

A canny edge map for the published plate p-baker-young.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 4.5% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of P barista deaf: canny edge map
png
51.6 KB
Actual file preview for P barista deaf: canny edge map

P barista deaf: canny edge map

A canny edge map for the published plate p-barista-deaf.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 4.3% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of P butcher mid: canny edge map
png
56.4 KB
Actual file preview for P butcher mid: canny edge map

P butcher mid: canny edge map

A canny edge map for the published plate p-butcher-mid.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 7.3% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of P chef wheel: canny edge map
png
54.4 KB
Actual file preview for P chef wheel: canny edge map

P chef wheel: canny edge map

A canny edge map for the published plate p-chef-wheel.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 5.3% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of P cleaner eve: canny edge map
png
29.7 KB
Actual file preview for P cleaner eve: canny edge map

P cleaner eve: canny edge map

A canny edge map for the published plate p-cleaner-eve.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 3.8% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of P desk chair: canny edge map
png
63 KB
Actual file preview for P desk chair: canny edge map

P desk chair: canny edge map

A canny edge map for the published plate p-desk-chair.png, 1216x832. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 7.0% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1216 × 832 px
Preview of P driver eve: canny edge map
png
43.9 KB
Actual file preview for P driver eve: canny edge map

P driver eve: canny edge map

A canny edge map for the published plate p-driver-eve.png, 832x1216. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 5.0% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 832 × 1216 px
Preview of P farmer field: canny edge map
png
80.5 KB
Actual file preview for P farmer field: canny edge map

P farmer field: canny edge map

A canny edge map for the published plate p-farmer-field.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 6.4% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of P florist sen: canny edge map
png
80.6 KB
Actual file preview for P florist sen: canny edge map

P florist sen: canny edge map

A canny edge map for the published plate p-florist-sen.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 6.8% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of P kitchen chef: canny edge map
png
61.3 KB
Actual file preview for P kitchen chef: canny edge map

P kitchen chef: canny edge map

A canny edge map for the published plate p-kitchen-chef.png, 1216x832. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 5.8% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1216 × 832 px
Preview of P market sen: canny edge map
png
88.6 KB
Actual file preview for P market sen: canny edge map

P market sen: canny edge map

A canny edge map for the published plate p-market-sen.png, 1216x832. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 8.2% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1216 × 832 px
Preview of P mechanic w: canny edge map
png
49.5 KB
Actual file preview for P mechanic w: canny edge map

P mechanic w: canny edge map

A canny edge map for the published plate p-mechanic-w.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 5.4% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of P meeting mix: canny edge map
png
50.6 KB
Actual file preview for P meeting mix: canny edge map

P meeting mix: canny edge map

A canny edge map for the published plate p-meeting-mix.png, 1216x832. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 4.4% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1216 × 832 px
Preview of P nurse clinic: canny edge map
png
34.4 KB
Actual file preview for P nurse clinic: canny edge map

P nurse clinic: canny edge map

A canny edge map for the published plate p-nurse-clinic.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 2.3% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of P salon mid: canny edge map
png
53.3 KB
Actual file preview for P salon mid: canny edge map

P salon mid: canny edge map

A canny edge map for the published plate p-salon-mid.png, 832x1216. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 4.4% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 832 × 1216 px
Preview of P shop plus: canny edge map
png
62.6 KB
Actual file preview for P shop plus: canny edge map

P shop plus: canny edge map

A canny edge map for the published plate p-shop-plus.png, 832x1216. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 6.3% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 832 × 1216 px
Preview of P stick cafe: canny edge map
png
58.6 KB
Actual file preview for P stick cafe: canny edge map

P stick cafe: canny edge map

A canny edge map for the published plate p-stick-cafe.png, 1216x832. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 5.1% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1216 × 832 px
Preview of P tailor mid: canny edge map
png
49.2 KB
Actual file preview for P tailor mid: canny edge map

P tailor mid: canny edge map

A canny edge map for the published plate p-tailor-mid.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 4.0% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of P teacher cls: canny edge map
png
45.8 KB
Actual file preview for P teacher cls: canny edge map

P teacher cls: canny edge map

A canny edge map for the published plate p-teacher-cls.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 3.3% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of P trades w: canny edge map
png
53 KB
Actual file preview for P trades w: canny edge map

P trades w: canny edge map

A canny edge map for the published plate p-trades-w.png, 832x1216. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 5.8% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 832 × 1216 px
Preview of P ware young: canny edge map
png
93.9 KB
Actual file preview for P ware young: canny edge map

P ware young: canny edge map

A canny edge map for the published plate p-ware-young.png, 1216x832. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 9.5% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1216 × 832 px
Preview of Plate food: canny edge map
png
68.7 KB
Actual file preview for Plate food: canny edge map

Plate food: canny edge map

A canny edge map for the published plate plate-food.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 6.0% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of Pr backpack: canny edge map
png
34.8 KB
Actual file preview for Pr backpack: canny edge map

Pr backpack: canny edge map

A canny edge map for the published plate pr-backpack.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 3.0% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of Pr bottle: canny edge map
png
38.8 KB
Actual file preview for Pr bottle: canny edge map

Pr bottle: canny edge map

A canny edge map for the published plate pr-bottle.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 3.3% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of Pr headphone: canny edge map
png
52.8 KB
Actual file preview for Pr headphone: canny edge map

Pr headphone: canny edge map

A canny edge map for the published plate pr-headphone.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 4.0% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of Pr laptop: canny edge map
png
20.6 KB
Actual file preview for Pr laptop: canny edge map

Pr laptop: canny edge map

A canny edge map for the published plate pr-laptop.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 1.9% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of Pr plant pot: canny edge map
png
46.9 KB
Actual file preview for Pr plant pot: canny edge map

Pr plant pot: canny edge map

A canny edge map for the published plate pr-plant-pot.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 3.5% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of Pr shoe: canny edge map
png
29.8 KB
Actual file preview for Pr shoe: canny edge map

Pr shoe: canny edge map

A canny edge map for the published plate pr-shoe.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 2.9% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of Pr watch: canny edge map
png
38.4 KB
Actual file preview for Pr watch: canny edge map

Pr watch: canny edge map

A canny edge map for the published plate pr-watch.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 2.9% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of Receipt counter: canny edge map
png
51.4 KB
Actual file preview for Receipt counter: canny edge map

Receipt counter: canny edge map

A canny edge map for the published plate receipt-counter.png, 1216x832. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 3.6% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1216 × 832 px
Preview of S bakery: canny edge map
png
53.4 KB
Actual file preview for S bakery: canny edge map

S bakery: canny edge map

A canny edge map for the published plate s-bakery.png, 1216x832. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 9.2% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1216 × 832 px
Preview of S cafe empty: canny edge map
png
58.3 KB
Actual file preview for S cafe empty: canny edge map

S cafe empty: canny edge map

A canny edge map for the published plate s-cafe-empty.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 6.5% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of S kitchen clean: canny edge map
png
54.8 KB
Actual file preview for S kitchen clean: canny edge map

S kitchen clean: canny edge map

A canny edge map for the published plate s-kitchen-clean.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 5.3% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of S market stall: canny edge map
png
75.3 KB
Actual file preview for S market stall: canny edge map

S market stall: canny edge map

A canny edge map for the published plate s-market-stall.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 9.0% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of S office: canny edge map
png
41.5 KB
Actual file preview for S office: canny edge map

S office: canny edge map

A canny edge map for the published plate s-office.png, 1216x832. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 6.7% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1216 × 832 px
Preview of S office open: canny edge map
png
57.3 KB
Actual file preview for S office open: canny edge map

S office open: canny edge map

A canny edge map for the published plate s-office-open.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 6.8% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of S plate: canny edge map
png
64.2 KB
Actual file preview for S plate: canny edge map

S plate: canny edge map

A canny edge map for the published plate s-plate.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 4.9% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of S shop front: canny edge map
png
68.4 KB
Actual file preview for S shop front: canny edge map

S shop front: canny edge map

A canny edge map for the published plate s-shop-front.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 9.7% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of S warehouse a: canny edge map
png
87.5 KB
Actual file preview for S warehouse a: canny edge map

S warehouse a: canny edge map

A canny edge map for the published plate s-warehouse-a.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 10.5% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of S workshop: canny edge map
png
58.4 KB
Actual file preview for S workshop: canny edge map

S workshop: canny edge map

A canny edge map for the published plate s-workshop.png, 1216x832. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 6.1% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1216 × 832 px
Preview of Sp climbing: canny edge map
png
62.2 KB
Actual file preview for Sp climbing: canny edge map

Sp climbing: canny edge map

A canny edge map for the published plate sp-climbing.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 4.2% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of Sp cyclists: canny edge map
png
113.5 KB
Actual file preview for Sp cyclists: canny edge map

Sp cyclists: canny edge map

A canny edge map for the published plate sp-cyclists.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 11.5% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of Sp football: canny edge map
png
52.9 KB
Actual file preview for Sp football: canny edge map

Sp football: canny edge map

A canny edge map for the published plate sp-football.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 3.8% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of Sp gym: canny edge map
png
42.6 KB
Actual file preview for Sp gym: canny edge map

Sp gym: canny edge map

A canny edge map for the published plate sp-gym.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 3.1% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of Sp runner: canny edge map
png
79.3 KB
Actual file preview for Sp runner: canny edge map

Sp runner: canny edge map

A canny edge map for the published plate sp-runner.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 6.2% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of Storefront: canny edge map
png
44.9 KB
Actual file preview for Storefront: canny edge map

Storefront: canny edge map

A canny edge map for the published plate storefront.png, 1216x832. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 7.5% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1216 × 832 px
Preview of T bokeh warm: canny edge map
png
38.7 KB
Actual file preview for T bokeh warm: canny edge map

T bokeh warm: canny edge map

A canny edge map for the published plate t-bokeh-warm.png, 1536x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 1.4% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1536 × 1024 px
Preview of T grad cool: canny edge map
png
4.9 KB
Actual file preview for T grad cool: canny edge map

T grad cool: canny edge map

A canny edge map for the published plate t-grad-cool.png, 1536x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 0.0% of the frame. This plate is a smooth gradient with essentially no edges, so the map is almost empty. That is the correct answer, and it ships deliberately as the degenerate case: what an edge detector returns when there is nothing to find. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1536 × 1024 px
Preview of T grad mono: canny edge map
png
22.7 KB
Actual file preview for T grad mono: canny edge map

T grad mono: canny edge map

A canny edge map for the published plate t-grad-mono.png, 1536x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 0.9% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1536 × 1024 px
Preview of T grad mono2: canny edge map
png
17.5 KB
Actual file preview for T grad mono2: canny edge map

T grad mono2: canny edge map

A canny edge map for the published plate t-grad-mono2.png, 1536x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 0.5% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1536 × 1024 px
Preview of T grad warm: canny edge map
png
4.9 KB
Actual file preview for T grad warm: canny edge map

T grad warm: canny edge map

A canny edge map for the published plate t-grad-warm.png, 1536x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 0.0% of the frame. This plate is a smooth gradient with essentially no edges, so the map is almost empty. That is the correct answer, and it ships deliberately as the degenerate case: what an edge detector returns when there is nothing to find. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1536 × 1024 px
Preview of T mesh grad: canny edge map
png
25.4 KB
Actual file preview for T mesh grad: canny edge map

T mesh grad: canny edge map

A canny edge map for the published plate t-mesh-grad.png, 1536x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 1.1% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1536 × 1024 px
Preview of T ph dark1: canny edge map
png
6.5 KB
Actual file preview for T ph dark1: canny edge map

T ph dark1: canny edge map

A canny edge map for the published plate t-ph-dark1.png, 1536x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 0.1% of the frame. This plate is a smooth gradient with essentially no edges, so the map is almost empty. That is the correct answer, and it ships deliberately as the degenerate case: what an edge detector returns when there is nothing to find. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1536 × 1024 px
Preview of T ph dark2: canny edge map
png
18.7 KB
Actual file preview for T ph dark2: canny edge map

T ph dark2: canny edge map

A canny edge map for the published plate t-ph-dark2.png, 1536x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 0.6% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1536 × 1024 px
Preview of T ph mesh2: canny edge map
png
21.4 KB
Actual file preview for T ph mesh2: canny edge map

T ph mesh2: canny edge map

A canny edge map for the published plate t-ph-mesh2.png, 1536x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 0.8% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1536 × 1024 px
Preview of T ph soft1: canny edge map
png
7.3 KB
Actual file preview for T ph soft1: canny edge map

T ph soft1: canny edge map

A canny edge map for the published plate t-ph-soft1.png, 1536x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 0.1% of the frame. This plate is a smooth gradient with essentially no edges, so the map is almost empty. That is the correct answer, and it ships deliberately as the degenerate case: what an edge detector returns when there is nothing to find. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1536 × 1024 px
Preview of T ph soft2: canny edge map
png
4.9 KB
Actual file preview for T ph soft2: canny edge map

T ph soft2: canny edge map

A canny edge map for the published plate t-ph-soft2.png, 1536x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 0.0% of the frame. This plate is a smooth gradient with essentially no edges, so the map is almost empty. That is the correct answer, and it ships deliberately as the degenerate case: what an edge detector returns when there is nothing to find. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1536 × 1024 px
Preview of T ph soft3: canny edge map
png
4.9 KB
Actual file preview for T ph soft3: canny edge map

T ph soft3: canny edge map

A canny edge map for the published plate t-ph-soft3.png, 1536x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 0.0% of the frame. This plate is a smooth gradient with essentially no edges, so the map is almost empty. That is the correct answer, and it ships deliberately as the degenerate case: what an edge detector returns when there is nothing to find. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1536 × 1024 px
Preview of T tex brick: canny edge map
png
41.4 KB
Actual file preview for T tex brick: canny edge map

T tex brick: canny edge map

A canny edge map for the published plate t-tex-brick.png, 1536x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 7.7% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1536 × 1024 px
Preview of T tex concrete: canny edge map
png
67 KB
Actual file preview for T tex concrete: canny edge map

T tex concrete: canny edge map

A canny edge map for the published plate t-tex-concrete.png, 1536x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 2.8% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1536 × 1024 px
Preview of T tex denim: canny edge map
png
177.9 KB
Actual file preview for T tex denim: canny edge map

T tex denim: canny edge map

A canny edge map for the published plate t-tex-denim.png, 1536x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 10.5% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1536 × 1024 px
Preview of T tex leather: canny edge map
png
264 KB
Actual file preview for T tex leather: canny edge map

T tex leather: canny edge map

A canny edge map for the published plate t-tex-leather.png, 1536x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 17.4% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1536 × 1024 px
Preview of T tex linen: canny edge map
png
137.6 KB
Actual file preview for T tex linen: canny edge map

T tex linen: canny edge map

A canny edge map for the published plate t-tex-linen.png, 1536x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 8.3% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1536 × 1024 px
Preview of T tex marble: canny edge map
png
45.3 KB
Actual file preview for T tex marble: canny edge map

T tex marble: canny edge map

A canny edge map for the published plate t-tex-marble.png, 1536x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 2.1% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1536 × 1024 px
Preview of T tex paper: canny edge map
png
249.8 KB
Actual file preview for T tex paper: canny edge map

T tex paper: canny edge map

A canny edge map for the published plate t-tex-paper.png, 1536x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 16.5% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1536 × 1024 px
Preview of T tex paper2: canny edge map
png
132.1 KB
Actual file preview for T tex paper2: canny edge map

T tex paper2: canny edge map

A canny edge map for the published plate t-tex-paper2.png, 1536x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 7.7% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1536 × 1024 px
Preview of T tex rust: canny edge map
png
30.7 KB
Actual file preview for T tex rust: canny edge map

T tex rust: canny edge map

A canny edge map for the published plate t-tex-rust.png, 1536x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 1.3% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1536 × 1024 px
Preview of T tex sand: canny edge map
png
80.9 KB
Actual file preview for T tex sand: canny edge map

T tex sand: canny edge map

A canny edge map for the published plate t-tex-sand.png, 1536x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 4.0% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1536 × 1024 px
Preview of T tex slate: canny edge map
png
80.3 KB
Actual file preview for T tex slate: canny edge map

T tex slate: canny edge map

A canny edge map for the published plate t-tex-slate.png, 1536x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 3.7% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1536 × 1024 px
Preview of T tex wood: canny edge map
png
98.8 KB
Actual file preview for T tex wood: canny edge map

T tex wood: canny edge map

A canny edge map for the published plate t-tex-wood.png, 1536x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 19.4% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1536 × 1024 px
Preview of V bike city: canny edge map
png
72.1 KB
Actual file preview for V bike city: canny edge map

V bike city: canny edge map

A canny edge map for the published plate v-bike-city.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 12.2% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of V boat harbour: canny edge map
png
69.3 KB
Actual file preview for V boat harbour: canny edge map

V boat harbour: canny edge map

A canny edge map for the published plate v-boat-harbour.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 8.0% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of V bus city: canny edge map
png
103.7 KB
Actual file preview for V bus city: canny edge map

V bus city: canny edge map

A canny edge map for the published plate v-bus-city.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 12.6% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of V car classic: canny edge map
png
66.3 KB
Actual file preview for V car classic: canny edge map

V car classic: canny edge map

A canny edge map for the published plate v-car-classic.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 6.2% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of V car ev: canny edge map
png
77.2 KB
Actual file preview for V car ev: canny edge map

V car ev: canny edge map

A canny edge map for the published plate v-car-ev.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 7.7% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of V car night: canny edge map
png
81.4 KB
Actual file preview for V car night: canny edge map

V car night: canny edge map

A canny edge map for the published plate v-car-night.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 8.8% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of V car sedan: canny edge map
png
75.1 KB
Actual file preview for V car sedan: canny edge map

V car sedan: canny edge map

A canny edge map for the published plate v-car-sedan.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 7.8% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of V forklift: canny edge map
png
96 KB
Actual file preview for V forklift: canny edge map

V forklift: canny edge map

A canny edge map for the published plate v-forklift.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 10.0% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of V moto sport: canny edge map
png
75.4 KB
Actual file preview for V moto sport: canny edge map

V moto sport: canny edge map

A canny edge map for the published plate v-moto-sport.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 6.6% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of V pickup mud: canny edge map
png
56.3 KB
Actual file preview for V pickup mud: canny edge map

V pickup mud: canny edge map

A canny edge map for the published plate v-pickup-mud.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 5.1% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of V plane gate: canny edge map
png
40.6 KB
Actual file preview for V plane gate: canny edge map

V plane gate: canny edge map

A canny edge map for the published plate v-plane-gate.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 5.0% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of V scooter: canny edge map
png
42.4 KB
Actual file preview for V scooter: canny edge map

V scooter: canny edge map

A canny edge map for the published plate v-scooter.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 4.7% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of V tractor: canny edge map
png
125.1 KB
Actual file preview for V tractor: canny edge map

V tractor: canny edge map

A canny edge map for the published plate v-tractor.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 12.0% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of V train plat: canny edge map
png
107.3 KB
Actual file preview for V train plat: canny edge map

V train plat: canny edge map

A canny edge map for the published plate v-train-plat.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 11.0% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of V truck artic: canny edge map
png
59.5 KB
Actual file preview for V truck artic: canny edge map

V truck artic: canny edge map

A canny edge map for the published plate v-truck-artic.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 8.5% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of V van delivery: canny edge map
png
67.1 KB
Actual file preview for V van delivery: canny edge map

V van delivery: canny edge map

A canny edge map for the published plate v-van-delivery.png, 1024x1024. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 7.3% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1024 × 1024 px
Preview of Warehouse clip: canny edge map
png
80.8 KB
Actual file preview for Warehouse clip: canny edge map

Warehouse clip: canny edge map

A canny edge map for the published plate warehouse-clip.png, 1216x832. Canny edge detection at low threshold 0.1 and high 0.3, run at the plate's own resolution so the edges land on the same pixels as the photograph they came from. Lit coverage measures 9.3% of the frame. The plate and this map are the same scene at the same size, so they can be compared pixel for pixel rather than by eye.

File
PNG · Ai Vision · 1216 × 832 px