Datasets:

YongchengYAO
/

FLARE22-Lite

license: cc-by-nc-sa-4.0
task_categories:
  - image-segmentation
language:
  - en
tags:
  - medical
  - image
pretty_name: flare22-lite
size_categories:
  - n<1K

About

This is a subset of the FLARE22 dataset.

50 images and segmentation masks (this is the labeled data in FLARE22)
No change to any image or segmentation mask
Files are rearranged to Images and Masks folders

This dataset is released under the CC BY-NC-SA 4.0 license.

News 🔥

[10 Oct, 2025] This dataset is integrated into 🔥MedVision🔥

Segmentation Labels

labels_map = {
    "1": "liver",
    "2": "right kidney",
    "3": "spleen",
    "4": "pancreas",
    "5": "aorta",
    "6": "inferior vena cava (ivc)",
    "7": "right adrenal gland (rag)",
    "8": "left adrenal gland (lag)",
    "9": "gallbladder",
    "10": "esophagus",
    "11": "stomach",
    "12": "duodenum",
    "13": "left kidney",
}

Official Release

For more information, please go to these sites

Challenge (official): https://flare22.grand-challenge.org
Data (official): https://flare22.grand-challenge.org/Dataset/
Data license: N/A
Data usage rule: https://flare22.grand-challenge.org/Rules/

Download from Huggingface

#!/bin/bash
pip install huggingface-hub[cli]
huggingface-cli login --token $HF_TOKEN

# python
from huggingface_hub import snapshot_download
snapshot_download(repo_id="YongchengYAO/FLARE22-Lite", repo_type='dataset', local_dir="/your/local/folder")