I have fallowed Train Custom Data to train my custom model. But there are some classes/objects in COCO dataset that want to include as well. Is there fast way to extract only those classes from the dataset. I'm thinking to write a script to do so but it feels like there should my much faster way to accomplish this.
How can I remove some of the objects from COCO dataset for YOLOv3
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You can either modify the labels, or you can modify the dataloader to filter by class. The dataloader is here:
https://github.com/ultralytics/yolov3/blob/master/utils/datasets.py#L258
The last option is to train on all 80 classes, or just used the pretrained weights, and then run detection only for certain classes:
python3 detect.py --classes 0,3,5