license: apache-2.0
language:
- en
🎉 To the best of our knowledge, UAVBench is the first vision-language benchmark to assess low-altitude UAV image-level and region-level understanding and reasoning capabilities of MLLMs.
📢 News
This is an ongoing project. We will be working on improving it.
- 📦 Complete evaluation code coming soon! 🚀
- 📦 Detailed low-altitude UAV MLLMs model inference tutorial coming soon! 🚀
- [05/13/2025] 🚀 We release our UAVBench benchmark and UAVIT-1M instruct tunning data to huggingface. UAVIT-1M
- [05/13/2025] 🚀 We release 3 low-altitude UAV Multi-modal Large Language Model baselines. 🤖LLaVA1.5-UAV, 🤖MiniGPTv2-UAV, 🤖GeoChat-UAV
💎 UAVBench Benchmark
To evaluate existing MLLMs’ abilities in low-altitude UAV vision-language tasks, we introduce the UAVBench Benchmark. The UAVBench comprises about 966k high-quality data samples and 43 test units, across 10 tasks at the image-level and region-level, covering 261k multi-spatial resolution and multi-scene images.
🎆 UAVIT-1M Instruct Tuning Dataset
UAVIT-1M consists of approximately 1.24 million diverse instructions, covering 789k multi-scene low-altitude UAV images and about 2,000 types of spatial resolutions with 11 distinct tasks. UAVBench and UAVIT-1M feature pure real-world visual images and rich weather conditions, and involve manual sampling verification to ensure high quality.
For more information, please refer to our 🏠Homepage.
📨 Contact
If you have any questions about this project, please feel free to contact zhanyangnwpu@gmail.com.