Datasets Models Results
Models Generic DINOv3 ViT-L/16
Meta

DINOv3 ViT-L/16

Latest iteration of Meta's self-supervised vision model.

Meta Open Source Vision Only
Generic
Model Type
#2
Overall Rank
40.58%
Avg. R@1
29.73%
Avg.
mAP@20
1024
Embedding
Size
224
Input
Size
6
Datasets

Performance Across Datasets

Dataset Category R@1 R@5 mAP
Stanford Online Products E-commerce 66.61% 77.92% 42.47%
Products-10K E-commerce 59.15% 75.55% 39.37%
DIY v1 Hardware/DIY 24.48% 45.99% 32.44%
Automotive v1 Automotive 26.29% 47.28% 28.45%
Clips-and-Connectors v1 Industrial 26.38% 45.03% 5.94%
Average 40.58% 58.35% 29.73%

ILIAS

Showing the results for ILIAS separately, as it is excluded from the average calculations. Because not all models are evaluated on ILIAS.

Dataset Category R@1 R@5 mAP@20 mAP@1000
ILIAS Instance Retrieval 47.97% 56.74% 21.82% 22.40%