Filipino woman nurse at a (lossless PNG)
A synthetic photographic plate of a person at work, 1024x1024, lossless PNG. This is the reference every lossy variant in this group is derived from Plate p-nurse-clinic.
Specifications
- Width
- 1024
- Height
- 1024
- Role
- reference
- Synthetic
- true
- Disclosure
- AI-generated / synthetic. Not a photograph of a real person, place or event.
- Family
- people-at-work
- Schema Version
- 1
- Alt Text
- Filipino woman nurse at a clinic reception reviewing a chart, soft daylight, calm interior
- Alt Text Source
- prompt
Testing contract
Reference control- Scenario
- Decode the file and record its dimensions, colour mode and pixel count.
- Expected result
- It decodes to 1024x1024 RGB with no loss. This is the reference every other member of its group is scored against, so a decoder that disagrees with it here has a fault that every comparison downstream would otherwise inherit.
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
“Filipino woman nurse at a (lossless PNG)” is a deterministic Novus Examples fixture for Media handling. Generated stills, clips and audio published in several encodings of identical content, so a media pipeline can be tested on format handling, quality loss and frame or sample extraction against a reference that is known rather than assumed.
Documented properties for this file: 1024×1024 · reference. 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.
Code examples
<img src="p-nurse-clinic.png" alt="Example image" width="640" loading="lazy">Related files
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- pngA barista in her twenties (lossless PNG)A synthetic photographic plate of an independent business owner, 701x1024, lossless PNG. This is the reference every lossy variant in this group is derived from Plate owner-cafe.
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- pngA Black man in his seventies (lossless PNG)A synthetic photographic plate of a person at work, 1024x701, lossless PNG. This is the reference every lossy variant in this group is derived from Plate p-market-sen.
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- pngA Black woman hairdresser in (lossless PNG)A synthetic photographic plate of a person at work, 701x1024, lossless PNG. This is the reference every lossy variant in this group is derived from Plate p-salon-mid.
Generated by generation/comfy_media_wave.py. Free for any use, no attribution required, license.