Error training with Roboflow: No labels found in cache

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The error message you’re seeing indicates that the training process is unable to find the labels for your test dataset. This could be due to a few reasons:

  1. Incorrect Dataset Structure: The structure of your dataset might not be as expected. The expected structure when running !python train.py should be as follows:
├── yolov8
└── datasets
    └── roboflow
        ├── test
        ├── train
        └── valid
            ├── images
                 |────1.jpg
                 |────...
                 └────10000.jpg
            ├── labelTxt
                 |────1.txt
                 |────...
                 └────10000.txt
        └────README.roboflow.txt
        └────data.yaml

Make sure your dataset structure matches this. The dataset name should be roboflow to prevent any errors from triggering (source).

  1. Incorrect File Extensions: The error message also mentions that the supported extensions for the class labels are: .jpg, .jpeg, .png, .ppm, .bmp, .pgm, .tif, .tiff, .webp. Make sure your label files have one of these extensions (source).

  2. Incorrect data.yaml File: The data.yaml file might not be correctly specifying the locations of your dataset files. Make sure this file is correctly set up (source).

If you’ve checked all of these and are still encountering the issue, it might be helpful to provide more information about your setup or reach out to Roboflow’s support for more specific assistance.

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