Segmentation Scene 02 — RGB (288px)
Synthetic multi-class scene 2 (sky/ground/object/accent) for semantic-segmentation smoke tests. Paired with an indexed mask and class JSON.
Specifications
- Width
- 288
- Height
- 288
- Role
- rgb input
- Classes
- 4
- Seed
- 1102
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.
How to use this file for testing
“Segmentation Scene 02 — RGB (288px)” is a deterministic Novus Examples fixture for Segmentation, Computer vision. Multi-class RGB scenes with indexed masks and class maps for semantic/instance segmentation loaders and eval harnesses.
Documented properties for this file: 288×288 · seed 1102 · rgb input. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.
Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such — expect parsers to fail loudly rather than silently accept them.
For image AI or enhancement tools, run the model or filter on this file and diff against the clean or ground-truth companion in the same group when available. Keep seeds and documented damage parameters in your evaluation notes so regressions are attributable.
Use the RGB input with its mask or soft-alpha companion. Class IDs and edge kinds are documented in specs — score IoU or boundary error against that ground truth, not a hand label.
Code examples
<img src="scene-02-rgb.png" alt="Example image" width="640" loading="lazy">Related files
- jsonSegmentation Scene 01 — Class Map (JSON)Class-id → label map for segmentation scene 1. Ground truth companion to the RGB and mask.
- pngSegmentation Scene 01 — Class Mask (288px)Indexed L mask for scene 1: pixel value equals class id (1=sky, 2=ground, 3=object, 4=accent).
- pngSegmentation Scene 01 — RGB (288px)Synthetic multi-class scene 1 (sky/ground/object/accent) for semantic-segmentation smoke tests. Paired with an indexed mask and class JSON.
- jsonSegmentation Scene 03 — Class Map (JSON)Class-id → label map for segmentation scene 3. Ground truth companion to the RGB and mask.
- pngSegmentation Scene 03 — Class Mask (288px)Indexed L mask for scene 3: pixel value equals class id (1=sky, 2=ground, 3=object, 4=accent).
- pngSegmentation Scene 03 — RGB (288px)Synthetic multi-class scene 3 (sky/ground/object/accent) for semantic-segmentation smoke tests. Paired with an indexed mask and class JSON.
Generated by generation/images_wave_e.py. Free for any use, no attribution required — license.