Meta (FAIR) has open sourced version 2 of their compute vision model, called DINO V2.
And have released a great demo playground together with it.

Here's the link to the release notes:
https://ai.facebook.com/blog/dino-v2-computer-vision-self-supervised-learning/?utm_source=twitter&utm_medium=organic_social&utm_campaign=dinov2&utm_content=video
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Meta AI has built DINOv2, a new method for training high-performance computer vision models. DINOv2 delivers strong performance and does not require fine-tuning. This makes it suitable for use as a backbone for many different computer vision tasks. Because it uses self-supervision, DINOv2 can learn from any collection of images. It can also learn features, such as depth estimation, that the current standard approach cannot. We are open-sourcing our model and sharing an interactive demo.

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