Apple 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.
Files for image segmentation
Example and test files tagged for image segmentation.
Apple — 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.
Apple — 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.
Salient Object — Input (512px)
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.
Salient Object — Binary Mask (512px)
The binary ground-truth segmentation mask for the salient robot (white = foreground). Compute IoU / F-score of a predicted mask against this file.
Salient Object — Matting Trimap (512px)
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.
Fruit Still Life on White — Instances (512px)
A four-object fruit still life (apple, orange, banana, grapes) on white — the easy input for instance segmentation and object detection, paired with an indexed instance mask.
Fruit Still Life on Clutter — Instances (512px)
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.
Indexed Instance Mask — 4 Objects (512px)
An indexed (palette) instance mask for the fruit still life: background = 0 and each fruit painted with its own instance id. Per-object class and normalised bounding box are listed in the specs.
Portrait Subject — Input (512px)
A cat 'portrait' on a busy background — a portrait-style subject-detection and matting input, paired with its ground-truth mask.
Portrait Subject — Binary Mask (512px)
The binary ground-truth mask for the portrait subject (white = foreground) — the reference for scoring a portrait cut-out or background blur.