yolo-windows
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should I label and train on all objects that exist in the training set
for example if there are two dogs in the image and I trained on one of them in all images that exist in training set, is the other dogs in the training set that I didn't label and train on them will affect on the process and will cause to consider them part of background?
it seems so, because after 3000 batches it didn't detect anything?