png2.2 KB
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.
Specifications
- Width
- 512
- Height
- 512
- Mode
- L
- Role
- ground-truth mask
- Foreground
- white
- Background
- black
What is a .png file?
PNG (Portable Network Graphics) is a raster image format using lossless DEFLATE compression. It supports full 8- or 16-bit-per-channel truecolor, palette, and greyscale modes with an optional alpha channel, but no animation. It is the standard choice for screenshots, logos, and graphics with sharp edges or transparency.
How to use this file
Use an example PNG to test image decoders, alpha-compositing, thumbnail generators, and format converters, or to verify that a pipeline preserves transparency and color depth on round-trip.
Related files
- pngSalient 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.
- pngSalient 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.
- pngFruit 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.
- pngFruit 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.
- pngIndexed 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.
- pngSalient 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.
Generated by generation/images_ai.py. Free for any use, no attribution required — license.