I wish to be able to detect: pedestrians, cars, traffic lights
I have two large datasets: - One contains instances and labels of all three classes. - The other contains instances of all three but only labels for pedestrians and cars. ie. there are many unlabelled traffic lights.
I want to combine the two datasets and train Yolov3 on it. Will the unlabelled presence of objects of interest significantly affect detection performance of that category?