should I label and train on all objects that exist in the training set (yolo darknet)
<p>(yolo - object detection)</p>

<p>if there are two dogs in the image and I trained on only one of them in all images that exist in the 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?
<strong>I am asking especially about yolo darknet object detection.</strong></p>

<p>it seems so, because after 3000 batches it didn't detect anything.
so the question, should I train on all objects (like all dogs in all training set) or it doesn't matter because the yolo will take the features only from the labeled ones and ignore the background?</p>