DINOv3 is a state-of-the-art computer vision model trained with self-supervised learning (SSL) that produces powerful, high-resolution image features. For the first time, a single frozen vision backbone outperforms specialized solutions on multiple long-standing dense prediction tasks. Learn more here:...
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DINOv3 is a state-of-the-art computer vision model trained with self-supervised learning (SSL) that produces powerful, high-resolution image features. For the first time, a single frozen vision backbone outperforms specialized solutions on multiple long-standing dense prediction tasks. Learn more here: A few highlights of DINOv3: 1️⃣SSL enables 1.7B-image, 7B-param training without labels, supporting annotation-scarce scenarios including satellite imagery 2️⃣Produces excellent high-resolution features and state-of-the art performance on dense prediction tasks 3️⃣Versatile application across vision tasks and domains, all with a frozen backbone (no fine-tuning required) 4️⃣ Includes distilled smaller models (ViT-B, ViT-L) and ConvNeXt variants for deployment flexibility To help foster innovation and collaboration in the computer vision community, we’re releasing DINOv3 under a commercial license with a full suite of pre-trained models, adapters, training and evaluation code, and (much!) more. Find them here: -- : Learn more about our work: Follow us on : Follow us on : Connect with us on LinkedIn: Meta focuses on bringing the world together by advancing AI, powering meaningful and safe experiences, and conducting open research.
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Last Updated: May 23, 2026
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