Mesh Fence Hard Case — Cut-out (512px)
Ground-truth mesh cut-out with transparent holes.
Specifications
- Width
- 512
- Height
- 512
- Role
- ground-truth cut-out
- Suite
- bg-hardcase
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
“Mesh Fence Hard Case — Cut-out (512px)” is a deterministic Novus Examples fixture for Background removal. Product-on-background compositions, alpha PNGs over transparency, and hard-case edges — fur, mesh, glass refraction, colour-matched backgrounds — for scoring removers and recomposite workflows.
Documented properties for this file: 512×512 · ground-truth cut-out. 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="hard-mesh-cutout.png" alt="Example image" width="640" loading="lazy">Related files
- pngAlpha-Channel Reveal (512px)A left-to-right alpha gradient over a solid colour, for testing how a viewer or compositor renders partial transparency.
- pngApple — Ground-Truth Alpha Mask (512px)The binary ground-truth alpha mask (white = subject, black = background) for the cluttered-background apple — compute IoU or boundary F-score of a predicted mask against this file.
- pngApple — Ground-Truth Cut-out (512px)The ground-truth transparent cut-out of the apple used in the cluttered-background hard case — the ideal output of a perfect background remover.
- pngApple on Cluttered Background (512px)An apple on a busy, colour-matched background — the hard input for a background remover or matting model. Score a prediction against the paired ground-truth cut-out and alpha mask.
- pngCoffee Mug — Transparent Cut-out (512px)The expected transparent cut-out of the coffee mug, paired with the on-background version — the ground truth for a background-removal test.
- pngCoffee Mug on Studio Background (512px)A coffee mug photographed on a clean studio-white background — the easy input for a background remover, paired 1:1 with its transparent cut-out for scoring.
Generated by generation/images_bg_hardcases.py. Free for any use, no attribution required — license.