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AssertionError: Label class 33 exceeds nc=3 in ././models/yolov5s.yaml. Correct your labels or your model. #4559
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👋 Hello @sarj7, 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. If this is a 🐛 Bug Report, please provide screenshots and minimum viable code to reproduce your issue, otherwise we can not help you. If this is a custom training ❓ Question, please provide as much information as possible, including dataset images, training logs, screenshots, and a public link to online W&B logging if available. For business inquiries or professional support requests please visit https://ultralytics.com or email Glenn Jocher at glenn.jocher@ultralytics.com. RequirementsPython>=3.6.0 with all requirements.txt installed including PyTorch>=1.7. To get started: $ git clone https://github.com/ultralytics/yolov5
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@sarj7 the error message is self explanatory. Your labels contain classes up to 33, which is about 30 more classes than you've stated in your data.yaml. |
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i'm getting this error while training yolov5 on custom dataset. i have tried to resolve this error by following this thread. i have made sure that i have nc = 3 in dataset.yaml file as well as nc = 3 in yolov5s.yaml file as well.
i deleted the cache file as well. i've also made sure that .txt label file for each individual image has classes as 0,1 or 2. i don't where does this model picks number of classes = 33.
please help!
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