Introducing Ultralytics Platform: The smartest way to annotate, train, and deploy vision AI! #23959
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👋 Hello @NLadi, thank you for your interest in Ultralytics and the new Ultralytics Platform announcement 🚀🤖 This is an automated response to help get you started, and an Ultralytics engineer will also assist you soon. We recommend a visit to the Docs for new users where you can find many Python and CLI usage examples and where many of the most common questions may already be answered. If this discussion turns into a 🐛 Bug Report, please provide a minimum reproducible example to help us debug it. If this is a custom training ❓ Question, please provide as much information as possible, including dataset image examples and training logs, and verify you are following our Tips for Best Training Results. Join the Ultralytics community where it suits you best. For real-time chat, head to Discord 🎧. Prefer in-depth discussions? Check out Discourse. Or dive into threads on our Subreddit to share knowledge with the community. UpgradeUpgrade to the latest pip install -U ultralyticsEnvironmentsYOLO may be run in any of the following up-to-date verified environments, with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled:
StatusIf this badge is green, all Ultralytics CI tests are currently passing. CI tests verify correct operation of all YOLO Modes and Tasks on macOS, Windows, and Ubuntu every 24 hours and on every commit. If you are exploring annotation, training, and deployment workflows for teams, sharing your use case details here can help us guide you more effectively ✨ |
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Annotate, train, and deploy production-ready computer vision models in one end-to-end platform built for teams shipping real-world vision AI!
Learn more ➡️ https://www.ultralytics.com/news/introducing-ultralytics-platform-the-smartest-way-to-annotate-train-and-deploy-vision-ai
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