Hi Everyone,
This is my first post here and I’m new to pytorch in general. So I’m wondering if you guys can help me understand the Faster R-CNN documentation: TorchVision Object Detection Finetuning Tutorial — PyTorch Tutorials 1.7.1 documentation 5
I’m trying to train an object detection model for heart conditions/anamolies on chest x-rays. I expect a large percentage of the data will be healthy people (i.e. no objects to detect). In this case, what should be the bounding box? As I understand, the torchvision model still expects a nontrivial bounding box even if no object is present, is that right? If so, would I just take the bounding box to be the whole image? Or something else?
Thank you in advance for any tips or assistance.