daisq/MM-UAVBench

MM-UAVBench A comprehensive multimodal benchmark designed to evaluate the perception, cognition, and planning abilities of Multimodal Large Language Models (MLLMs) in low-altitude UAV scenarios. 📚 Dataset Overview MM-UAVBench focuses on assessing MLLMs' performance in UAV-specific low-altitude scenarios, with three core characteristics: Key Features Comprehensive Task Design 19 tasks across 3 capability dimensions (perception/cognition/planning)… See the full description on the dataset page: https://huggingface.co/datasets/daisq/MM-UAVBench.

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