Confusion in training the model for ACF
Hello Regarding training the model for ACF. i want to ask a couple of things:
1) i have a dataset of 10 categories of objects. the images contain more than one objects. So total positive images are 750 and negative images are 150. How i need to divide the train and test data? 50% each? 2) I am confused that if i want to do object detection than first full dataset is used for the training and testing using ACF for proposal extraction and the again same positive samples use for training and testing for the Object detection?