| Gilles added a comment. |
There is an image classifier worth building that probably wouldn't fall into preexisting bias, which is determining whether an image is a photograph or not. We have this long-standing limitation of only visually optimising (slight sharpening) thumbnails for JPGs because they're the only file type that's mostly photographs. Which leaves thumbnails of photographs uploaded as PNG and TIFF visually flat. See T192744 for some context.
An image classifier that can tell photographs apart from diagrams, maps, schematics, etc. would be quite useful for the visual quality of the thumbnails we render. Either by being directly inserted into our thumbnailing pipeline at the time thumbnails are rendered, or by tagging images with structured data (which would allow humans to override the decision made by the classifier).
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