D clipboard: outpaint boundary record
Where the original view of a delivery note on a clipboard held against a van door, outdoor overcast light, slight angle landed inside the expanded frame, as JSON: the rectangle 0,192 to 512,704 in a 512x704 canvas, the padding that produced it, and the 40-pixel feather that means the comparison must be inset. Authored BEFORE the expansion ran, so it is ground truth rather than a rectangle recovered afterwards by matching the original against the result - which is what a consumer would otherwise have to do, and which cannot distinguish a correct offset from a plausible one.
json
application/json
- Pad Name
- top-only
- Pad Left
- 0
- Pad Top
- 192
- Pad Right
- 0
- Pad Bottom
- 0
- Original Rect
- 0,192,512,704
Binary json: no in-browser preview. Download it above to open in a compatible application.
Specifications
- Pad Name
- top-only
- Pad Left
- 0
- Pad Top
- 192
- Pad Right
- 0
- Pad Bottom
- 0
- Original Rect
- 0,192,512,704
- Feather Px
- 40
- Source Plate
- nss-d-clipboard_00001_.png
- Crop Box
- 229,212,741,724
- Added Share
- 0.27273
- Synthetic
- true
- Disclosure
- Derived from an AI-generated plate. Synthetic, not a photograph of a real scene.
- Schema Version
- 1
- Role
- reference
- Core Mad
- 5.301
- Whole Original Mad
- 6.294
Testing contract
Reference control- Scenario
- Parse the record and check that originalRect lies wholly inside the expanded frame and that its width and height equal the original's.
- Expected result
- It places the original at 0,192,512,704, states the padding that produced the frame, and names a 40-pixel feather. It was authored BEFORE the expansion ran, so it is ground truth rather than a rectangle recovered afterwards by matching the original against the result - a recovery that cannot tell a correct offset from a plausible one.
What is a .json file?
JSON (JavaScript Object Notation) is a lightweight, text-based data-interchange format representing objects, arrays, strings, numbers, booleans, and null. It is language-independent, human-readable, and the dominant format for web APIs and configuration. It requires a single well-formed root value.
How to use this file
Use an example JSON file to test parsers and serializers, schema validation, Unicode and number-precision handling, and API request or response processing.
How to use this file for testing
“D clipboard: outpaint boundary record” is a deterministic Novus Examples fixture for Inpainting. Images with cut-out regions (rects, circles, corners, strips, irregular tears) and matching masks for testing inpainting, generative fill, content-aware fill, and object-removal pipelines.
Documented properties for this file: reference. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.
Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such, expect parsers to fail loudly rather than silently accept them.
Data fixtures document their exact quirks (delimiters, encodings, null handling, schema, and row counts) in the spec table. Point your parser or importer at the file and assert it handles the documented edge cases; clean and deliberately-messy siblings make before/after diffs straightforward.
Run your enhancement model on the degraded input and diff against the clean ground-truth companion in the same group; keep the documented degradation parameters and seed in your eval notes so scores are reproducible.
Code examples
import json
with open("d-clipboard-boundary.json") as f:
data = json.load(f)
print(type(data), len(data))Related files
- jsonA av f4: outpaint boundary recordWhere the original view of head and shoulders portrait of an older white woman with short grey hair, plain cream background landed inside the expanded frame, as JSON: the rectangle 128,0 to 640,512 in a 768x512 canvas, the padding that produced it, and the 40-pixel feather that means the comparison must be inset. Authored BEFORE the expansion ran, so it is ground truth rather than a rectangle recovered afterwards by matching the original against the result - which is what a consumer would otherwise have to do, and which cannot distinguish a correct offset from a plausible one.
- jsonA av f5: outpaint boundary recordWhere the original view of head and shoulders portrait of an east asian woman with glasses, plain warm grey background landed inside the expanded frame, as JSON: the rectangle 0,128 to 512,640 in a 512x768 canvas, the padding that produced it, and the 40-pixel feather that means the comparison must be inset. Authored BEFORE the expansion ran, so it is ground truth rather than a rectangle recovered afterwards by matching the original against the result - which is what a consumer would otherwise have to do, and which cannot distinguish a correct offset from a plausible one.
- jsonA av m3: outpaint boundary recordWhere the original view of head and shoulders portrait of a bearded white man in his thirties, plain olive studio background landed inside the expanded frame, as JSON: the rectangle 0,0 to 512,512 in a 704x512 canvas, the padding that produced it, and the 40-pixel feather that means the comparison must be inset. Authored BEFORE the expansion ran, so it is ground truth rather than a rectangle recovered afterwards by matching the original against the result - which is what a consumer would otherwise have to do, and which cannot distinguish a correct offset from a plausible one.
- jsonA av m4: outpaint boundary recordWhere the original view of head and shoulders portrait of a south asian man in his fifties, plain slate studio background landed inside the expanded frame, as JSON: the rectangle 192,0 to 704,512 in a 704x512 canvas, the padding that produced it, and the 40-pixel feather that means the comparison must be inset. Authored BEFORE the expansion ran, so it is ground truth rather than a rectangle recovered afterwards by matching the original against the result - which is what a consumer would otherwise have to do, and which cannot distinguish a correct offset from a plausible one.
- jsonA avatar f1: outpaint boundary recordWhere the original view of head and shoulders portrait of a smiling white woman against a plain blue studio background landed inside the expanded frame, as JSON: the rectangle 0,0 to 512,512 in a 512x704 canvas, the padding that produced it, and the 40-pixel feather that means the comparison must be inset. Authored BEFORE the expansion ran, so it is ground truth rather than a rectangle recovered afterwards by matching the original against the result - which is what a consumer would otherwise have to do, and which cannot distinguish a correct offset from a plausible one.
- jsonA avatar f2: outpaint boundary recordWhere the original view of head and shoulders portrait of a young hijabi woman against a plain neutral studio background landed inside the expanded frame, as JSON: the rectangle 96,96 to 608,608 in a 704x704 canvas, the padding that produced it, and the 40-pixel feather that means the comparison must be inset. Authored BEFORE the expansion ran, so it is ground truth rather than a rectangle recovered afterwards by matching the original against the result - which is what a consumer would otherwise have to do, and which cannot distinguish a correct offset from a plausible one.
Generated by generation/comfy_expand_wave.py. Free for any use, no attribution required, license.