No labels in D:\yolov5\datasets\img\train.cache. Can not train without labels

jiangxiaobaiii commented 7 months ago

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Question

I'm a beginner and I'm working on poultry disease detection. However, I keep getting the error message "No labels in D:\yolov5\datasets\img\train.cache. Can not train without labels." My English is not very good, and it's difficult for me to search for information. How can I solve this problem? I would greatly appreciate any help.

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github-actions[bot] commented 7 months ago

👋 Hello @jiangxiaobaiii, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

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glenn-jocher commented 7 months ago

Hello! It looks like your dataset is missing label files for your training images. Each image in your dataset needs a corresponding label file in YOLO format, which is a .txt file with the same name as the image file, located in the same directory. These .txt files should contain the class ID and bounding box coordinates for each object in the image, in the format [class_id x_center_norm y_center_norm width_norm height_norm], where all normalized values are relative to the image size.

To resolve your issue, please ensure that:

You have label .txt files for all your images in the dataset.
Each label file is correctly formatted and located in the appropriate directory alongside its corresponding image.

📚 For more detailed guidance on preparing your dataset, you might find the documentation helpful: https://docs.ultralytics.com/yolov5/.

Hope this helps! If you have any more questions, feel free to ask. Happy training! 😊

github-actions[bot] commented 6 months ago

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