Visual Recognition on MyVLM
98.1Positive AccuracyRePIC
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| RePIC2026.06 | 98.1 | — | 95.6 | 96.8 | |
| PeKitDetection/Segmentation Model=G-SAM2025.02 | 97.6 | 82.3 | 99 | 98.3 | |
| RAP-QwenBackbone=Qwen2VL2026.06 | 97.2 | — | 94.8 | 95.5 | |
| Yo’LLaVA2025.02 | 97 | — | 95.7 | 96.4 | |
| Yo'LLaVA2026.06 | 97 | — | 95.7 | 96.4 | |
| MyVLM2025.02 | 96.6 | — | 90.9 | 93.8 | |
| MyVLM2026.06 | 96.6 | — | 90.9 | 93.8 | |
| RAP-LLAVABackbone=LLaVA2026.06 | 94.4 | — | 98.8 | 96.6 | |
| PeKitDetection/Segmentation Model=G-DINO2025.02 | 94.3 | 79.1 | 98.8 | 96.5 | |
| RRG2026.06 | 91.5 | — | 92 | 91.8 | |
| R2P-QwenBackbone=Qwen2VL2026.06 | 86.9 | — | 95.4 | 91.5 |