error to save trained model

Vandosud commented 3 weeks ago

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[X] I have searched the HUB issues and found no similar bug report.

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Bug

FileNotFoundError Traceback (most recent call last) in <cell line: 4>() 2 3 model = YOLO('https://hub.ultralytics.com/models/sFqQPgYxYcNWILvVkohL') ----> 4 results = model.train()

6 frames /usr/local/lib/python3.10/dist-packages/ultralytics/data/utils.py in check_det_dataset(dataset, autodownload) 327 else: 328 m += f"\nNote dataset download directory is '{DATASETS_DIR}'. You can update this in '{SETTINGS_YAML}'" --> 329 raise FileNotFoundError(m) 330 t = time.time() 331 r = None # success

FileNotFoundError: Dataset '/content/datasets/teste_hub/leitor.v1i.yolov8-obb/data.yaml' images not found ⚠️, missing path '/content/datasets/roboflow/valid/images' Note dataset download directory is '/content/datasets'. You can update this in '/root/.config/Ultralytics/settings.ya

Environment

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Minimal Reproducible Example

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github-actions[bot] commented 3 weeks ago

👋 Hello @Vandosud, thank you for raising an issue about Ultralytics HUB 🚀! Please visit our HUB Docs to learn more:

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pderrenger commented 3 weeks ago

@Vandosud hello! 😊 It appears that the error you're encountering is due to the trained model not being able to locate the dataset specified in your data.yaml file, particularly the /content/datasets/roboflow/valid/images directory. This is often because the dataset directory does not exist in the path you've specified or the path itself is incorrect.

Please ensure that:

The dataset directory exists at the specified path.
The paths to your dataset in data.yaml accurately reflect their locations.

You might want to double-check the data.yaml file to ensure all paths are correct. Also, consider verifying the dataset directory to confirm it's in the expected location with the expected structure.

For more details on configuring datasets and troubleshooting, please refer to the Ultralytics HUB Docs. Let us know if you need any further assistance!

ultralytics / hub