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
#5
Overall Rank
45.24%
Avg. R@1
31.85%
Avg.
mAP@20
1024
Embedding
Size
224
Input
Size
8
Datasets

Performance Across Datasets

Dataset Category R@1 R@5 mAP
Stanford Online Products E-commerce 66.61% 77.92% 42.47%
TOPEX Industrial 65.25% 78.00% 41.42%
Products-10K E-commerce 59.15% 75.55% 39.37%
Furniture v1 Retail 48.52% 70.62% 32.83%
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 45.24% 62.91% 31.85%

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%