MLCD
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Large-Scale Visual Representation Model
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This model is trained using the COYO700M dataset. The results below are from linear probe evaluations, demonstrating the model's performance on various benchmarks.
| Dataset | CLIP | MLCD |
|---|---|---|
| Food101 | 88.8 | 90.2 |
| CIFAR10 | 95.1 | 96.9 |
| CIFAR100 | 80.5 | 86.8 |
| Birdsnap | 58.5 | 72.1 |
| SUN397 | 76.6 | 77.4 |
| Cars | 81.8 | 93.5 |
| Aircraft | 52.0 | 74.7 |
| VOC2007 | 87.7 | 90.4 |
| DTD | 76.5 | 83.5 |
| Pets | 90.0 | 93.6 |
| Cal101 | 93.0 | 97.7 |
| Flowers | 96.9 | 98.8 |
| ImageNet | 76.1 | 79.1 |
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