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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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Venture Village Wall 🦄

@venturevillagewall · Post #4089 · 02/07/2025, 10:00 AM

Property Market Thrives on Digital Platforms 📊 A study by РЭУ im. G.V. Plekhanov reveals a surge in property transactions via Циан, with nearly 500,000 families improving their housing conditions in 2024. Digital platforms are revolutionizing real estate, streamlining deals, and saving users time and money. Циан's valuation service received 14.8 million unique requests in 2024 alone. The company's IT sector now accounts for 54% of its revenue, reflecting a 171% increase since 2019. 🔗Read more #RealEstate#Циан#MarketTrends#DigitalTransformation#HousingMarket#PropertyTech#Investment#TechInnovation#RevenueGrowth#UserExperience#CostSavings#Efficiency#BusinessIntelligence#RealEstateTech#DigitalPlatforms#DataAnalysis#MarketResearch#2024Trends#Technology#PropertyEvaluation