Obshazard-bench: benchmarking multimodal foundation models for real-time disaster intelligence from raw earth observation streams
Read the original at arxiv.org→arXiv:2608.00012v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) are increasingly used to interpret Earth observation data, yet their capability to support real-world disaster emergency...
Original headline: "Obshazard-bench: Benchmarking Multimodal Foundation Models for Real-Time Disaster Intelligence from Raw Earth Observation Streams"
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- Aug 4, 04:00 UTC arXiv cs.CL lead source Obshazard-bench: Benchmarking Multimodal Foundation Models for Real-Time Disaster Intelligence from Raw Earth Observation Streams