| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| Food-101 | AG-Net | Top-1 Acc99.3 | 16 | 2mo ago | |
| UCF101 | SARE | Accuracy87.58 | 15 | 2mo ago | |
| Birdsnap | SARE | Accuracy87.3 | 15 | 2mo ago | |
| Standard Visual-Language Benchmarks Average (Seen/Unseen classes) | CoOp | Base Accuracy82.63 | 5 | 3mo ago | |
| MyVLM | PeKit | Positive Accuracy97.6 | 4 | 1mo ago | |
| This-Is-My-Img Single-concept (test) | PeKit | Precision90.1 | 3 | 1mo ago | |
| Yo' LLaVA | Yo’LLaVA | Positive Accuracy94.9 | 3 | 1mo ago | |
| This-Is-My-Img Multi-concept | PeKit | Precision96.1 | 2 | 1mo ago | |
| Caltech-256 | AG-Net | Top-1 Acc96.89 | 1 | 3mo ago | |
| PPMI-24 | AG-Net | Top-1 Acc98.2 | 1 | 3mo ago | |
| Stanford-40 | AG-Net | Top-1 Accuracy97.83 | 1 | 3mo ago | |
| AUC V2 | AG-Net | Top-1 Accuracy0.9665 | 1 | 3mo ago | |
| AUC V1 | AG-Net | Top-1 Acc99.7 | 1 | 3mo ago |
