metadata

dataset_info:
  features:
    - name: image
      dtype: image
    - name: image_id
      dtype: string
    - name: lesion_id
      dtype: string
    - name: dx
      dtype: string
    - name: dx_type
      dtype: string
    - name: age
      dtype: float64
    - name: sex
      dtype: string
    - name: localization
      dtype: string
  splits:
    - name: train
      num_bytes: 2490501038.358
      num_examples: 9577
    - name: test
      num_bytes: 351507473.24
      num_examples: 1285
    - name: validation
      num_bytes: 681758880.144
      num_examples: 2492
  download_size: 3693626934
  dataset_size: 3523767391.7419996
task_categories:
  - image-classification
  - image-segmentation
language:
  - en
tags:
  - skin_cancer
  - HAM10000
pretty_name: HAM10000
size_categories:
  - 1K<n<10K

Dataset Card for "The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions"

Original Paper and Dataset here
Kaggle dataset here

This is a contribution to open sourced data in hugging face for image data. Images can be obtained from above links.

Train test split was done using a stratified splitting by cancer/diagnosis type. The code to stratify the dataset can be obtained on my github here.

I do not own any rights to above images.

More Information needed