# Should I train from scratch or use pre-trained weights?

With yolov4, I am training an 80k images dataset that is used to classify different species of fish. Currently, I am using the following pre-trained weights: yolov4.conv.137 .

Now I was wondering if this is a backbone or weights trained with the COCO dataset? Would I benefit better from using these pre-trained weight files or just training from a blank slate?