Hi,
I’m training SSD with ResNet as a base network, it’s an object detection task. Currently I’m experiencing issue because lots of my input images are actually without any object (just a background or not labeled objets). My dataset contain about 21000 images and only 17% contains object of interest.
I’m facing strong overfitting issue. Do you guys have any idea how to solve it? I’ve tried several approaches, but let’s hear your opinion first 
Thanks a lot!