Land Use Multi-class Classification on EuroSat v1.0
72.7Top-1 AccuracyGemini Multi-Spectral CoT
Evaluation Results
| Method | Links | |
|---|---|---|
| Gemini Multi-Spectral CoTInput Modality=Multi-Spectral, Prompting Strategy=Chain-of-Thought (CoT), Inference Mode=Zero-shot2026.04 | 72.7 | |
| Gemini Multi-Spectral ExpansionInput Modality=Multi-Spectral, Prompting Strategy=Vocabulary Expansion, Inference Mode=Zero-shot2026.04 | 70.7 | |
| Gemini Multi-Spectral (Baseline)Input Modality=Multi-Spectral, Prompting Strategy=Baseline, Inference Mode=Zero-shot2026.04 | 69.1 | |
| Llama3-MS-CLIPInput Modality=Multi-Spectral, Inference Mode=Zero-shot2026.04 | 67.8 | |
| Gemini RGBInput Modality=RGB, Inference Mode=Zero-shot2026.04 | 66.3 | |
| GRAFTInput Modality=Multi-Spectral, Inference Mode=Zero-shot2026.04 | 63.8 | |
| ZLaPInference Mode=Inductive inference2026.04 | 63.2 | |
| CLIPBackbone=CLIP-VIT L/14, Inference Mode=Zero-shot2026.04 | 59.9 | |
| CLIPBackbone=CLIP-VIT L/14, Resolution=336px, Inference Mode=Zero-shot2026.04 | 59.6 |