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Source channel @githubtrending · Post #14627 · Apr 24

#jupyter_notebook DINOv2 is a powerful AI model from Meta AI that learns to understand images without needing labeled data, using self-supervised learning. It was trained on 142 million images and creates strong visual features that work well for many tasks like image classification, depth estimation, and segmentation without extra fine-tuning. You can use its pretrained models easily with simple classifiers, saving time and effort. DINOv2 is efficient, scalable, and performs better than many other models, making it great for building versatile computer vision applications quickly and accurately. It’s open-source and ready to use with PyTorch. https://github.com/facebookresearch/dinov2

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Oneplus 13 Updates

@OnePlus13Series · Post #341 · 11/13/2025, 03:50 PM

OnePlus 13 Specifications Codename: dodge cc: TechleaksZone • 6.82" (3168×1440 px) 2K+ BOE X2 LTPO AMOLED display • 1-120Hz variable refresh rate • 4500nits peak brightness • 2160Hz PWM Dimming • Dolby Vision; 1.07 billion colors • Crystal Shield glass protection • Snapdragon 8 Elite SoC • LPDDR5X RAM; UFS 4.0 storage • 9925mm² VC chamber • 50MP main (LYT-T 808, OIS) • 50MP Ultrawide (JN5); 2.5cm macro • 50MP 3X Telephoto (LYT-600; OIS) • 120X Digital Zoom; Hassleblad camera • 32MP Front camera • AAC CSA+ 0916 X-axis linear motor (volume 602mm³) • Goodix Ultrasonic fingerprint • IR Blaster; Alert Slider • Dust & water resistant (IP68 + IP69) • Stereo speakers, OReality & OHaptics • 6000mAh battery; USB-C 3.2 Gen 1 • 100W wired (Max 6.0A at 10V) + 50W wireless charging (Upto 18W PD - IN variant) •4 AndroidOS upgrades + 6yrs Security Patches. (Android 15 OOB) •Lifetime Display Warranty for greenline concerns (For India) @OnePlus13Series | @OnePlus13SeriesChatRoom #oneplus13#specs#oxygenos