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Novus Examples
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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.

Preview of Fruit Still Life on White — Instances (512px)

Specifications

Width
512
Height
512
Mode
RGB
Objects
4
Classes
banana, apple, orange, grapes
Background
white

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

“Fruit Still Life on White — Instances (512px)” is a deterministic Novus Examples fixture for Image segmentation, Object detection. RGB scenes paired with class or instance masks and documented class IDs and bounding boxes — for scoring semantic and instance segmentation against a known ground truth.

Documented properties for this file: 512×512. 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="instances-white.png" alt="Example image" width="640" loading="lazy">

Generated by generation/images_ai.py. Free for any use, no attribution required — license.