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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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Ethio-Djibouti Railway S.C.

@ethiodjiboutirailway · Post #1360 · 01/25/2024, 05:06 AM

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Congratulations to the fourteen train driver trainees who have successfully completed their training! January 24, 2024(EDR); During their one year training period, the trainees have successfully finished their theoretical and practical training. That provided by the Ethiopian-Djibouti Railway Capacity Building program’s fourth round. Today, they took their Ministry of Transport and Logistics qualification exam, and now one step closer to obtaining their licenses and starting their careers as train drivers. We are incredibly proud of their hard work and commitment, and we wish them all the best in their future endeavors! #EthiopiaDjiboutiRailway#EthiopiajiboutiRailwayfamily#CapacityBuilding #TrainDriverTraining#Congratulations

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