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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.

Updated 1/23/2024
hugging_face

Description

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-*

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Topics

Skin Disease Classification
Image Recognition

Source

Organization: hugging_face

Created: Unknown

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