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RichardChenZH/Med-Banana-80K

Med-Banana-50K: A Cross-modality Large-Scale Dataset for Text-guided Medical Image Editing Paper Link | GitHub Repository Summary Med-Banana-50K is a comprehensive 50K-image dataset for instruction-based medical image editing spanning three modalities (Chest X-ray, Brain MRI, Fundus Photography) and 23 disease types. The dataset includes bidirectional edits (lesion addition and removal) generated from real medical images using Gemini-2.5-Flash-Image. What… See the full description on the dataset page: https://huggingface.co/datasets/RichardChenZH/Med-Banana-80K.

Author / organizationRichardChenZH
License (as declared)cc-by-4.0
Downloads3.5K (as reported by Hugging Face)
Likes6
Created6 February 2026
Last updated at source1 June 2026
medicaldeepfake-detectionimage-editingradiologyophthalmology
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