Remote Sensing Classification on METER-ML
74.87Top-1 AccuracyMF-RSVLM
Evaluation Results
| Method | Links | |
|---|---|---|
| MF-RSVLMLLM=Vicuna-1.5-7B2025.12 | 74.87 | |
| VHMLLM=Vicuna-1.5-7B2025.12 | 72.74 | |
| LHRS-BotLLM=LLaMA-2-7B2025.12 | 69.81 | |
| Qwen2.5-VLLLM=Qwen2.5-7B2025.12 | 59.82 | |
| InternVL2.5LLM=InternLM-2.52025.12 | 57.35 | |
| MiniCPM-V-2.6LLM=Qwen2-7B2025.12 | 51.5 | |
| InternVL3.5LLM=InternVL3.52025.12 | 50.8 | |
| Phi-3.5-VisionLLM=Phi-3.52025.12 | 40.35 | |
| InternLM-XComposeLLM=InternLM-7B2025.12 | 40.21 | |
| Qwen-VLLLM=Qwen-7B2025.12 | 38.77 | |
| mPLUG-OWL2LLM=LLaMA-2-7B2025.12 | 36.27 | |
| GeoChatLLM=Vicuna-1.5-7B2025.12 | 33.98 | |
| EarthDialLLM=Phi-3-mini2025.12 | 27.26 | |
| LLaVA-1.5LLM=Vicuna-1.5-7B2025.12 | 21.73 | |
| InstructBLIPLLM=Vicuna-7B2025.12 | 14.42 | |
| MiniGPTv2LLM=LLaMA-2-7B2025.12 | 14.29 |