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G lowpoly isle: removal mask

The exact footprint of the object sitting over low poly stylised island with trees and water, as an 8-bit mask covering 6.50% of the frame as a single organic region, neither a rectangle nor an ellipse. It holds only the values 0 and 255. The footprint is what DREW the object, so it is ground truth by construction rather than a segmentation of it. Hard-edged on purpose: a feathered edge has no exact footprint, and the exactness is the point of shipping it.

Preview of G lowpoly isle: removal mask

Specifications

Width
512
Height
512
Role
mask
Removal Kind
blob
Mask Coverage
0.06498
Source Plate
nss-g-lowpoly-isle_00001_.png
Crop Box
392,237,904,749
Group Members
4
Synthetic
true
Disclosure
Derived from an AI-generated plate. Synthetic, not a photograph of a real scene.
Schema Version
1
Binary
true
Mask Values
0 and 255
Grow Mask By
12
Alt Text
Low poly stylised island with trees and water

Testing contract

Reference control
Scenario
Read the mask and check that it holds only two values, then measure the share of the frame it covers and count its connected regions.
Expected result
Every pixel is 0 or 255 with nothing in between, and it covers 6.50% of a 512x512 frame as blob: a single organic region, neither a rectangle nor an ellipse. The footprint is what DREW the object, so it is exact by construction and a disagreement is the reader's.

What is a .png file?

PNG (Portable Network Graphics) is a raster image format using lossless DEFLATE compression. It supports full 8- or 16-bit-per-channel truecolor, palette, and greyscale modes with an optional alpha channel, but no animation. It is the standard choice for screenshots, logos, and graphics with sharp edges or transparency.

How to use this file

Use an example PNG to test image decoders, alpha-compositing, thumbnail generators, and format converters, or to verify that a pipeline preserves transparency and color depth on round-trip.

How to use this file for testing

“G lowpoly isle: removal mask” 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: 512×512 · mask. 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.

For image AI or enhancement tools, run the model or filter on this file and diff against the clean or ground-truth companion in the same group when available. Keep seeds and documented damage parameters in your evaluation notes so regressions are attributable.

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

<img src="g-lowpoly-isle-mask.png" alt="Example image" width="640" loading="lazy">

Generated by generation/comfy_removal_wave.py. Free for any use, no attribution required, license.