SkinCon (SKIN Concepts Dataset)
Introduced by Daneshjou et al. in SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained model debugging and analysis
SkinCon is a skin disease dataset densely annotated by dermatologists. SkinCon includes 3230 images from the Fitzpatrick 17k skin disease (Fitzpatrick Skin Tone) dataset densely labelled with 48 clinical concepts, 22 of which have at least 50 images representing the concept. The concepts used were chosen by two dermatologists considering the clinical descriptor terms used to describe skin lesions. Examples include "plaque", "scale", and "erosion".
Source: SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained model debugging and analysisPapers
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