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.
Specifications
- Width
- 512
- Height
- 512
- Mode
- RGB
- Subject
- robot mascot
- Background
- cluttered
- Role
- input
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
- pngPortrait Subject — Input (512px)A cat 'portrait' on a busy background — a portrait-style subject-detection and matting input, paired with its ground-truth mask.
- pngPortrait 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.
- 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.
- pngApple — 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.
Generated by generation/images_ai.py. Free for any use, no attribution required — license.