Images with isolated foreground subjects, cluttered backgrounds, and exact masks for testing saliency, subject selection, cropping, and background-removal pipelines.
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.
The binary ground-truth segmentation mask for the salient robot (white = foreground). Compute IoU / F-score of a predicted mask against this file.
A cat 'portrait' on a busy background — a portrait-style subject-detection and matting input, paired with its ground-truth mask.
The binary ground-truth mask for the portrait subject (white = foreground) — the reference for scoring a portrait cut-out or background blur.
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