I'm trying to generate data for my object detection network (which will be used for TensorFlow: ResNet).
What I'm currently curious about is this: if I have the same total amount of data (each data containing coordinates and class) is using an image with multiple objects better or would it be better to have single objects for each image?
For example, would it be better to have 5 images where each image has 10 objects (total of 50 data) or to have 50 images each with a single object (total of 50 data)?
(The numbers are for illustrative purposes only. I would be using a few thousands of data)