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Damaged input for scratch restoration testing (seed 409). Pair with the clean reference and damage mask in this group.
Damaged input for torn-corner restoration testing (seed 412). Pair with the clean reference and damage mask in this group.
Damaged input for water-stain restoration testing (seed 411). Pair with the clean reference and damage mask in this group.
Black-and-white damage mask for the crease restoration case (white = damaged). Use with the damaged input and clean reference.
Black-and-white damage mask for the dust restoration case (white = damaged). Use with the damaged input and clean reference.
Black-and-white damage mask for the horizontal-cut restoration case (white = damaged). Use with the damaged input and clean reference.
Black-and-white damage mask for the scratch restoration case (white = damaged). Use with the damaged input and clean reference.
Black-and-white damage mask for the torn-corner restoration case (white = damaged). Use with the damaged input and clean reference.
Black-and-white damage mask for the water-stain restoration case (white = damaged). Use with the damaged input and clean reference.
The binary ground-truth segmentation mask for the salient robot (white = foreground). Compute IoU / F-score of a predicted mask against this file.
A robot mascot on a cluttered background — the input for a salient-object-detection or image-matting model. Ground-truth binary mask and trimap ship alongside it.
A three-level matting trimap (black = background, grey = unknown edge band, white = foreground) for the salient robot — the standard auxiliary input for alpha-matting methods.
Base A with 10% salt-and-pepper noise (seed 42010). A direct fixture for testing median and morphological denoisers against the clean reference.
Base B with 10% salt-and-pepper noise (seed 77010). A direct fixture for testing median and morphological denoisers against the clean reference.
Base A with 2% salt-and-pepper noise (seed 42002). A direct fixture for testing median and morphological denoisers against the clean reference.
Base B with 2% salt-and-pepper noise (seed 77002). A direct fixture for testing median and morphological denoisers against the clean reference.
Base A with 5% salt-and-pepper noise (seed 42005). A direct fixture for testing median and morphological denoisers against the clean reference.
Base B with 5% salt-and-pepper noise (seed 77005). A direct fixture for testing median and morphological denoisers against the clean reference.
A scatter plot of 120 seeded points (order value versus items per order) showing a positive correlation, with labelled axes — for testing point-cloud extraction and chart parsing.
Class-id → label map for segmentation scene 1. Ground truth companion to the RGB and mask.
Indexed L mask for scene 1: pixel value equals class id (1=sky, 2=ground, 3=object, 4=accent).
Synthetic multi-class scene 1 (sky/ground/object/accent) for semantic-segmentation smoke tests. Paired with an indexed mask and class JSON.
Class-id → label map for segmentation scene 2. Ground truth companion to the RGB and mask.
Indexed L mask for scene 2: pixel value equals class id (1=sky, 2=ground, 3=object, 4=accent).
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