SLAKE: 642 Medical Images with Multi-Task Annotations

SLAKE contains 642 medical image samples with multi-task annotations, curated by Voxel51 based on research published in 2021 (Arxiv 2102.09542). It provides a specialized dataset for medical visual question answering and computer vision, featuring labels for classification, detection, and segmentation tasks.

Use Cases

• Training object detection models to identify anatomical structures using bounding box labels
• Developing medical image segmentation algorithms using pixel-level masks
• Medical image classification for diagnostic support based on category labels

Strengths

• Multi-task annotations including detection, segmentation, and classification
• CC BY 4.0 open-source license
• Expert-level medical domain focus

Limitations

• Small sample size of 642 records
• Geographic bias toward US-based medical data as indicated by region tags

Provenance

Source

Voxel51 and Arxiv 2102.09542

Collection Method

Expert annotation of medical imaging data

Freshness

Last updated May 2025; based on 2021 research publication.

Geography

United States