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Dataset assetOpen Source CommunityImage RecognitionSkin Disease Classification
parvpareek/skinclass
The dataset consists of two primary features: images and labels. The image feature is of type image, and the label feature is of type categorical label, comprising seven categories: MEL, NV, BCC, AKIEC, BKL, DF, and VASC. The dataset is split into training, test, and validation subsets containing 10,015, 1,512, and 193 samples respectively. The download size is 3,244,182,740 bytes, and the total size is 3,203,813,771.0559998 bytes.
Source
hugging_face
Created
Nov 28, 2025
Updated
Jan 23, 2024
Signals
134 views
Availability
Linked source ready
Overview
Dataset description and usage context
Dataset Overview
License
- MIT License
Dataset Information
Features
- Image
- Data type: Image
- Label
- Data type: Categorical label
- Category names:
- 0: MEL
- 1: NV
- 2: BCC
- 3: AKIEC
- 4: BKL
- 5: DF
- 6: VASC
Data Splits
- Training Set
- Bytes: 2,734,579,055.12
- Samples: 10,015
- Test Set
- Bytes: 415,977,777.936
- Samples: 1,512
- Validation Set
- Bytes: 53,256,938.0
- Samples: 193
Data Size
- Download size: 3,244,182,740
- Dataset size: 3,203,813,771.0559998
Configuration
- Default Configuration
- Data files:
- Training set: data/train-*
- Test set: data/test-*
- Validation set: data/validation-*
- Data files:
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