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Two hard-edged objects orbiting in antiphase over a grid, plus a static centre marker. The objects cross in front of the grid and reach the frame edges, so occlusion and boundary handling both get exercised. Every frame has an exact mask in this group.
A three-level trimap derived from the instance masks: definite foreground, definite background, and a nine-pixel unknown band around every boundary. This is the input interactive matting and rotoscoping tools actually take, and the band is where all the difficulty lives: a matte is only as good as its handling of that region.
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).
Synthetic multi-class scene 2 (sky/ground/object/accent) for semantic-segmentation smoke tests. Paired with an indexed mask and class JSON.
Class-id → label map for segmentation scene 3. Ground truth companion to the RGB and mask.
Indexed L mask for scene 3: pixel value equals class id (1=sky, 2=ground, 3=object, 4=accent).
Synthetic multi-class scene 3 (sky/ground/object/accent) for semantic-segmentation smoke tests. Paired with an indexed mask and class JSON.
Class-id → label map for segmentation scene 4. Ground truth companion to the RGB and mask.
Indexed L mask for scene 4: pixel value equals class id (1=sky, 2=ground, 3=object, 4=accent).
Synthetic multi-class scene 4 (sky/ground/object/accent) for semantic-segmentation smoke tests. Paired with an indexed mask and class JSON.
Class-id → label map for segmentation scene 5. Ground truth companion to the RGB and mask.
Indexed L mask for scene 5: pixel value equals class id (1=sky, 2=ground, 3=object, 4=accent).
Synthetic multi-class scene 5 (sky/ground/object/accent) for semantic-segmentation smoke tests. Paired with an indexed mask and class JSON.
Class-id → label map for segmentation scene 6. Ground truth companion to the RGB and mask.
Indexed L mask for scene 6: pixel value equals class id (1=sky, 2=ground, 3=object, 4=accent).
Synthetic multi-class scene 6 (sky/ground/object/accent) for semantic-segmentation smoke tests. Paired with an indexed mask and class JSON.
Class-id to name map for the semantic-segmentation mask (background + three shapes).
Indexed 8-bit mask (0=background, 1–3=shapes) for the semantic-segmentation scene twin.
A synthetic RGB scene with three coloured shapes: input for semantic-segmentation models. Pair with the indexed mask twin.
A half-full drinking glass rendered with partial transparency: the hard case for background removers that assume every subject pixel is opaque.
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