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Source channel @githubtrending · Post #15365 · Dec 24

#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

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The Digi Doodles

@Digi_doodles · Post #622 · 08/01/2025, 10:02 AM

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WeTransfer’s AI Terms: Are Artists Losing Control?🃏 July 28, 2025 · The Art Newspaper A quiet shift with loud consequences. 👂 WeTransfer has updated its terms of service to allow the use of uploaded files for AI training — sparking concern among digital artists and creatives. While the platform claims “anonymized and aggregated” data use, critics warn this could jeopardize intellectual property. What’s at stake: — Artists may unknowingly feed generative AI tools — Lack of opt-out or clear consent for creative works — Questions around ownership, credit & ethics Another wake-up call in the ongoing conversation around AI, authorship, and data rights📖 #AIArt#DigitalRights#WeTransfer#ArtAndTech#DataEthics

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