I have tried to train a model with over 50,000 images and 227 labels (with bounding boxes) I loaded the images using a csv file with each image left as UNASSIGNED for ML use.
Each time I try to train it, it gets to the 28 minute mark and errors out with Training pipeline failed with error message: Input sets do not have the same labels.
I am at my wits end trying to work out what is the issue. I cannot find anyone else with the same issue (or I have found one, but there was no solution) and no matter what I do, it errors out at the same point (I have removed some labels etc)
Does anyone know what the issue is (with more detail) so I can try to fix it? I assume it is talking about the
Dataset and the Annotation set, but I cannot work out what is causing the issue.
I have followed all bounding box details, but to no avail. Any help would be appreciated. I am on the trial at the moment, so do not want to pay for support until I have
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