RGB scenes paired with class or instance masks and documented class IDs and bounding boxes, for scoring semantic and instance segmentation against a known ground truth.
Each card starts with one representative test file. Choose a use case, search, or filter to find a specific profile; a card’s variant menu contains its related samples.
4 test families · 11 available files · Page 1 of 1
Background Removal
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.
Ai Segmentation
The same four-object fruit still life on a cluttered background: the hard input for instance segmentation and object detection. The indexed instance mask gives per-object ground truth.
Ai Segmentation
A cat 'portrait' on a busy background: a portrait-style subject-detection and matting input, paired with its ground-truth mask.
Ai Segmentation
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.
