transfer learning #17354
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👋 Hello @sushanthred, thank you for your interest in Ultralytics 🚀! 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 is a custom training ❓ Question, please provide as much information as possible, including details about your dataset, any training logs, and verify you are following our Tips for Best Training Results. Regarding implementing transfer learning for YOLOv8, particularly freezing layers, I suggest experimenting with different layers depending on which features you want the model to retain or relearn. The layers to freeze can vary based on your specific use case and the nature of your new data classes. Additionally, an Ultralytics engineer will assist you soon to provide more detailed guidance 😊. 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 ultralytics EnvironmentsYOLO may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):
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hello how do i implement transfer learning for yolo v8
i will be tedious if the model is trained over the combined dataset which includes my new classes data too
so i want to implement using freeze layers which layers are to be frozen ?
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