#jupyter_notebook
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
Lookonchain | ꘜ
An #Ethereum ICO participant who bought 100K $ETH(costing $31K) sold 4,283 $ETH($18.97M) again recently.
He has sold 44,284 $ETH($105M) at an average price of $2,378 since 2021, leaving 55,716 $ETH($261.6M).
The total profit is ~$366.8M, an 11,835x return!
https://etherscan.io/address/0x815c53bf36a3bc8b066715da459b365e6ce6c3ed
https://etherscan.io/address/0x2c06dd922b61514aafedd84488c0c28e6dcf0e99
Lookonchain | ꘜ
An #Ethereum ICO participant who received 20,000 $ETH( cost $6,200, now $86.6M) just sold another 2,300 $ETH($9.91M) 20 minutes ago, leaving him with 1,623 $ETH($6.99M).
https://x.com/lookonchain/status/1729788901756211328