Remote Sensing Scene Classification on EuroSAT
51.4Top-1 AccuracyLHRS-Bot
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| LHRS-BotLLM=LLaMA-2-7B2025.12 | 51.4 | — | — | — | — | |
| InternVL2.5LLM=InternLM-2.52025.12 | 49.8 | — | — | — | — | |
| EarthDialLLM=Phi-3-mini2025.12 | 45.85 | — | — | — | — | |
| MF-RSVLMLLM=Vicuna-1.5-7B2025.12 | 45.3 | — | — | — | — | |
| InternVL3.5LLM=InternVL3.52025.12 | 45.2 | — | — | — | — | |
| InternLM-XComposeLLM=InternLM-7B2025.12 | 39.7 | — | — | — | — | |
| GeoChatLLM=Vicuna-1.5-7B2025.12 | 39.25 | — | — | — | — | |
| MiniGPTv2LLM=LLaMA-2-7B2025.12 | 38.56 | — | — | — | — | |
| Qwen2.5-VLLLM=Qwen2.5-7B2025.12 | 34.25 | — | — | — | — | |
| mPLUG-OWL2LLM=LLaMA-2-7B2025.12 | 33.29 | — | — | — | — | |
| MiniCPM-V-2.6LLM=Qwen2-7B2025.12 | 32.25 | — | — | — | — | |
| Qwen-VLLLM=Qwen-7B2025.12 | 26.42 | — | — | — | — | |
| LLaVA-1.5LLM=Vicuna-1.5-7B2025.12 | 26.12 | — | — | — | — | |
| Phi-3.5-VisionLLM=Phi-3.52025.12 | 25.9 | — | — | — | — | |
| InstructBLIPLLM=Vicuna-7B2025.12 | 20.25 | — | — | — | — | |
| 2D-CNN2025.12 | — | 91.04 | 91.12 | 90.03 | — | |
| EarthDial2026.03 | — | — | — | — | 35.7 | |
| EfficientNet2025.12 | — | 68.72 | 67.94 | 65.26 | — | |
| GeoChat2026.03 | — | — | — | — | 36.9 | |
| GeoPix2026.03 | — | — | — | — | 5.8 | |
| Intern-S1-mini2026.03 | — | — | — | — | 41 | |
| LHRS-Bot-nova2026.03 | — | — | — | — | 46.6 | |
| LRS-VQA2026.03 | — | — | — | — | 47.6 | |
| MobileNet2025.12 | — | 90.07 | 90.1 | 88.96 | — | |
| OSMDA-VLMzero-shot=true2026.03 | — | — | — | — | 44.9 | |
| ResNet502025.12 | — | 82.02 | 81.86 | 80.01 | — | |
| SceneMixer2025.12 | — | 93.9 | 93.93 | 93.22 | — | |
| SkyEyeGPT2026.03 | — | — | — | — | 2.9 | |
| SkySenseGPT2026.03 | — | — | — | — | 44.5 | |
| VGG192025.12 | — | 78.74 | 78.32 | 76.35 | — | |
| VHM2026.03 | — | — | — | — | 36.2 | |
| ViT2025.12 | — | 79.6 | 79.4 | 77.32 | — |