A multi-hazard, multi-sensor, and multi-task vision-language dataset for global-scale disaster asses

DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response Junjue Wang , Weihao Xuan , Heli Qi, Zhihao Liu, Kunyi Liu, Yuhan Wu, Hongruixuan Chen, Jian Song Junshi Xia, Zhuo Zheng, Naoto Yokoya† Equal Contributions † Corresponding Author Paper: Code: Highlights DisasterM3 includes 26,988 bi-temporal satellite images and 123k instruction pairs across… See the full description on the dataset page:

Source: Hugging Face Hub (Kingdrone-Junjue/DisasterM3). Metadata imported from the dataset’s Hub tags.