TAMMI is the public release of TAMMI (Text and Multi-Modal Imagery), a large-scale multimodal Visual Question Answering (VQA) dataset for remote sensing, introduced at CVPR 2025 EarthVision Workshop.
TAMMI combines three complementary image modalities — Very High Resolution (VHR) orthophotos, Sentinel-2 multispectral imagery, and Sentinel-1 SAR — with rich question-answer annotations automatically generated from official geographic databases.… See the full description on the dataset page:
https://huggingface.co/datasets/HichemBoussaid/TAMMI.