About Dataset

The dataset is organized into a series of folders, each labeled with the name of a specific skin condition. These conditions include:

Actinic Keratosis
Atopic Dermatitis
Benign Keratosis
Dermatofibroma
Melanocytic Nevus
Melanoma
Squamous Cell Carcinoma
Tinea Ringworm Candidiasis
Vascular Lesion

There are also two folders named 'test' and 'train', which are standard subdivisions used in machine learning to separate data into training sets, which the algorithm learns from, and test sets, which are used to evaluate the algorithm's accuracy.