I want to train a convolutional neural network for object detection (say YOLO) to detect faces. Consider this image:
In this training image, I have many people, but only 2 of them are annotated. Is having this kind of images (where target classes are not all annotated) will train the network to ignore positives?
If yes, are there any techniques to solve the issue apart from annotating the data (I don't have enough resources to do that).