DINOv3
DINOv3 is a self supervised computer vision model from Meta that produces universal image backbones without using human labeled data. Trained up to 7 billion parameters on 1.7 billion images, it generates high resolution dense visual features that power tasks like object detection, image segmentation, depth estimation and video object tracking without any finetuning.
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