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DINOv3 offers powerful self-supervised vision models from Meta AI, like ViT up to 7B parameters and ConvNeXt, pretrained on 1.7B web or satellite images. Load them easily via PyTorch Hub, Hugging Face Transformers (v4.56+), or timm (v1.0.20+), with code examples for features, depth, detection, and segmentation. You benefit by using these top-performing, dense features without fine-tuning or labels—saving time and compute for tasks like classification, object detection, and zero-shot analysis on your images.
https://github.com/facebookresearch/dinov3
⚠️ A whale who supplied 56,995 $WETH ($90.8M) to borrow $DAI on #Maker is on the verge of liquidation, with a liquidation price of $1,564.58.
Earlier today, another giant whale was already liquidated for 67,569 $ETH ($106M) at $1,650 to repay a $74.49M loan as the price plunged!
In the past 24 hours, $898M, mostly from long positions, was liquidated from the cryptocurrency market.
Follow @spotonchain for more insights at https://x.com/spotonchain/status/1909075294834848057