How can I modify the example in the "Object Detection FasterRCNN Tutorial" (https://www.kaggle.com/code/pdochannel/object-detection-fasterrcnn-tutorial) to include empty labeled images in the training data? I want to be able to handle cases where there are no classes of interest in certain images.
Additionally, I have noticed that even when I include images of underwater scenes (where there are no objects of interest) the model still tends to detect something.
