I want to train my custom dataset using the yolov4 algorithm. The difference between my data and the coco dataset is that my objects label's are as follows:
label annotation: <object-class> <x_center> <y_center> <width> <height> <d>
We always use pre-trained files to object detection, but given that my data has different labels, Do I need to change pre-trained data? how should I train the dataset?
