I can't find a description of these weights used in tutorial for training Yolov4 darknet and I can't really understand where they came from, COCO? PASCAL VOC? ImageNet?
I can't understand also if running the command !./darknet detector train ./obj.data ./yolov4-obj.cfg ./yolov4.conv.137 -dont_show -map
means fine-tuning (i.e. simply initializing the model with weights without freezing anything) or transfer learning (freezing layers in the model)??
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