Image Classification on DataComp-1B (EVA-CLIP 26 Benchmarks Test & Val)
65.9Accuracy (ImageNet-1k)ITO
Evaluation Results
| Method | Links | |||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ITOBackbone=ViT-B/16, Pre-training Dataset=DataComp-1B, Training Epochs=1 epoch, Evaluation Protocol=Top-1 zero-shot classification2026.03 | 65.9 | 25 | 72.9 | 53.3 | 57.2 | 51.9 | 94.9 | 78.3 | 70.5 | 83.9 | 86.6 | 83.5 | 57.3 | 83.4 | 64.9 | 18.1 | 14.7 | 46 | 3.9 | 24.4 | 35.5 | 53.5 | 51.7 | 60.2 | 96.4 | 37.8 | 56.6 | |
| ITO sub2Backbone=ViT-B/16, Pre-training Dataset=DataComp-1B, Training Epochs=1 epoch, Evaluation Protocol=Top-1 zero-shot classification2026.03 | 65.7 | 26.9 | 74 | 53.5 | 57 | 52.2 | 95.1 | 78.5 | 67 | 84.5 | 85.8 | 82.3 | 57 | 82 | 64.7 | 16.3 | 14.9 | 47.8 | 3.2 | 29.5 | 42.1 | 58.4 | 51.4 | 57.8 | 96.7 | 37.4 | 57 | |
| CLIPBackbone=ViT-B/16, Pre-training Dataset=DataComp-1B, Training Epochs=1 epoch, Evaluation Protocol=Top-1 zero-shot classification2026.03 | 63.1 | 24.1 | 67.9 | 47.3 | 54.7 | 50 | 92.1 | 74.6 | 63.7 | 83.1 | 84 | 76.9 | 55.1 | 82.1 | 62.8 | 14.2 | 13.9 | 42.1 | 3.1 | 25 | 38.8 | 50.8 | 49.8 | 58.1 | 95.3 | 35.4 | 54.2 |