Image classification from raw photos to reviewable results
Plan the collection, transformations, evaluation groups, and review process behind a meaningful visual classification.
Read the guide ↗Learn to manage visual evidence with source information, captions, rights, and a clear distinction between a picture and its interpretation.
A useful visual record includes where an image came from, what it is intended to show, and which changes have been applied. Distinguish an original acquisition from a cropped illustration or a model-created visualization. Avoid presenting a decorative neural graphic as an actual scan or measurement. The visuals on this site illustrate concepts rather than clinical findings.
Describe the visible content and the role it plays in the argument. State when scale, acquisition details, or source context are unknown. For a research note, link the visual to the surrounding methods or dataset documentation rather than saving only a thumbnail. A reviewer should understand what the image supports and what remains outside its scope.