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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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MND Singapore

@mndsingapore · Post #362 · 07/29/2022, 11:01 AM

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In just 2 days, the Centre for Liveable Cities (CLC) and the Urban Redevelopment Authority (URA) will jointly organise our flagship event of the year – World Cities Summit (WCS) 2022! The Summit will return to an in-person conference format this year, and will convene government and industry leaders, and leading experts from around the world to address liveable and sustainable city challenges, share integrated urban solutions and forge new partnerships. Over the course of 4 days, WCS delegates will engage with this year’s theme - “Liveable and Sustainable Cities: Emerging Stronger” – through a series of discussions on how cities need to remain liveable, sustainable, and more resilient, in these times of prolonged and unpredictable disruptions, such as pandemics and climate change! For more information, visit https://worldcitiessummit.com.sg #worldcitiessummit#sustainablecities#liveablecities#resilientcities#innovation#cities#smartcities#wcsyl#clcsg

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