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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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Baxtiyor Pulatov

@eco_pulatov · Post #1975 · 11/27/2025, 10:55 AM

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🇺🇿📘 O‘zbekistonning “Atrof-muhit o‘zgarishlari atlasi” nashr etildi! BMTning Atrof-muhit bo‘yicha dasturi — UNEP tomonidan O‘zbekiston bo‘yicha eng yirik ekologik atlas tayyorlandi. U 60 yillik tarixiy va sun’iy yo‘ldosh ma’lumotlariga asoslanib, yer va suv ekotizimlari, ekologik muammolar, SDG 6 va 15 maqsadlariga erishish holatini tahlil qiladi. 📥O‘zbekiston atlasini yuklab olish 📌 Mazkur loyiha doirasida Qirg‘iziston va Tojikiston uchun ham atlaslar yaratilgan: 🇰🇬Qirg‘iziston atlasi 🇹🇯Tojikiston atlasi 🌱 Bu atlaslar ekologik barqarorlik, tadqiqotlar va davlat darajasidagi qarorlar uchun eng muhim geoma’lumot bazasi hisoblanadi. #UNEP#EcologyAtlas#GIS#UZB#SDG#RemoteSensing

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