Dataset assetOpen Source CommunityImage ClassificationSkin Lesion Recognition

heroza/isic2017_task3

The dataset comprises two subsets (sub1 and sub2), each containing images and label features. Sub1 labels include *combined* and *seb*; sub2 labels include *combined* and *mel*. Each subset provides training, validation, and test splits with corresponding sample counts and byte sizes. Download sizes and actual sizes are listed in the README.

Source

hugging_face

Created

Nov 28, 2025

Updated

Feb 5, 2024

Signals

109 views

Availability

Linked source ready

Overview

Dataset description and usage context

Dataset Overview

Dataset Configuration

Configuration Name: sub1
- Features:
  - image: image data
  - label: category labels, including combined and seb
- Splits:
  - train: 2,000 samples, 1,354,643,486.0 bytes
  - validation: 150 samples, 869,316,023.0 bytes
  - test: 600 samples, 5,548,533,480.0 bytes
- Download Size: 12,198,304,944 bytes
- Dataset Size: 7,772,492,989.0 bytes
Configuration Name: sub2
- Features:
  - image: image data
  - label: category labels, including combined and mel
- Splits:
  - train: 2,000 samples, 2,290,898,224.0 bytes
  - validation: 150 samples, 869,316,023.0 bytes
  - test: 600 samples, 5,548,533,480.0 bytes
- Download Size: 12,198,307,368 bytes
- Dataset Size: 8,708,747,727.0 bytes

Data File Paths

Configuration Name: sub1
- train: sub1/train-*
- validation: sub1/validation-*
- test: sub1/test-*
Configuration Name: sub2
- train: sub2/train-*
- validation: sub2/validation-*
- test: sub2/test-*

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