YOLOv8 stop without reporting an error

[zekien]

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Question

Use this command (yolo detect train data=D:\animal_target model=yolov8x-cls.pt epochs=100 imgsz=640 cache=ram) batch=12) to train wildlife photos, the total number of photos is more than a dozen, why does it stop without reporting an error?

Additional

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Pip install the ultralytics package including all requirements in a Python>=3.8 environment with PyTorch>=1.8.

pip install ultralytics

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[glenn-jocher]

Hello! Thanks for reaching out. It seems like your training might be stopping due to insufficient data. YOLOv8 typically requires a larger dataset to effectively train without issues. A dozen photos might not be enough, which could potentially cause the training to halt unexpectedly.

To troubleshoot, you could try the following:

1. Increase your dataset size significantly.
2. Monitor system resources (like GPU and RAM usage) during training to check if there's a resource bottleneck.
3. Run with a smaller batch_size or lower imgsz to reduce memory demand.

Here's a modified command to try with a smaller batch size:

yolo detect train data=D:\\animal_target model=yolov8x-cls.pt epochs=100 imgsz=640 cache=ram batch=4

If the issue persists, please provide any logs or error messages that might appear in your console. This will help in diagnosing the problem more effectively. 🛠️

[zekien]

Thank you for your reply, the problem has been solved, thank you

[glenn-jocher]

Great to hear that your issue is resolved! If you have any more questions in the future, feel free to reach out. Happy coding! 😊