Acne Recognition Dataset

Skin Disease Classification dataset

The Dermatology Dataset comprises a comprehensive collection of 686 high-resolution photographs specifically curated to support the development and training of neural networks. This dataset is meticulously designed to facilitate the accurate identification and classification of problem areas on facial skin, adhering to the Investigator Global Assessment (IGA) scale. The IGA scale is a standardized tool used by dermatologists to evaluate the severity and progression of various skin conditions.

This dataset serves a crucial role in the advancement of artificial intelligence applications within the medical field, particularly in dermatology. By leveraging this dataset, researchers and developers can create sophisticated neural network models capable of performing detailed analyses of facial skin. These models can effectively distinguish between different types and severities of skin conditions, thereby enabling precise and timely diagnoses.