transfer learning

[nurislam690206]

Is it possible to use feature extraction and fine-tuning with YOLO11?

[UltralyticsAssistant]

👋 Hello @nurislam690206, 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 🐛 Bug Report, please provide a minimum reproducible example to help us debug it.

If this is a custom training ❓ Question, like in your case regarding feature extraction and fine-tuning with YOLO11, please provide as much information as possible, including dataset image examples, relevant code snippets, or training configurations, and verify you are following our Tips for Best Training Results.

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YOLO 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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This is an automated response, but no worries! An Ultralytics engineer will assist you here soon to provide further clarification 😊

[glenn-jocher]

@nurislam690206 yes, YOLO11 supports transfer learning, including feature extraction and fine-tuning, which can be achieved by training the model on your custom dataset using pre-trained weights. For guidance, refer to the Train YOLO11 documentation.

[glenn-jocher]

The error suggests that the path to your data_imageNet.yaml file is not being correctly resolved. Ensure the path is accurate and accessible. If the issue persists, verify that the YAML file is formatted correctly as per the Ultralytics YOLO dataset format guidelines.

[nurislam690206]

Custom_yaml file.txt
New DOCX 文档.docx

please check?

[glenn-jocher]

@nurislam690206 it looks like the issue may be with the structure or content of your data_imageNet.yaml file. Please ensure the file follows the correct Ultralytics YOLO dataset YAML format and that the paths specified within it are accurate and accessible. If the problem persists, please share any specific errors or issues encountered for further assistance.

[nurislam690206]

I solved the problem...Thank you so much for your help👌

[glenn-jocher]

You're welcome! Glad to hear the issue is resolved. The credit goes to the YOLO community and the Ultralytics team for their resources. Let us know if you need further assistance!