Transfer Learning on COCO with specific class names

galAcarteav commented 2 years ago

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Question

Hey, First of all, thanks for a great repo! Second, My aim is to retrain a network(e.g yolov5m) on formatted COCO dataset with fewer(80 classes to 3 classes) classes: for example: car, train, truck labels will become vehicle, irrelevant classes will be ignored(removed class line from label file).

do you have any proposal about which layers to freeze and learning parameters setup?

Additional

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github-actions[bot] commented 2 years ago

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glenn-jocher commented 2 years ago

@galAcarteav transfer learning on new datasets is the default use case, no special actions are required on your part, just start training from a pretrained model on a new dataset:

python train.py --weights yolov5m.pt --data DATA.yaml

See Train Custom Data tutorial to get started:

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👋 Hello, this issue has been automatically marked as stale because it has not had recent activity. Please note it will be closed if no further activity occurs.

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