Hi there,
I am using Yolo, SSD and FRCNN on the same set of images (containing only one object per image, eg car, train etc) to test the differences between models, however, while the other models can correctly determine what is in the image, FRCNN will only detect class 0, or a human.
I’ve used two models both for FRCNN trained on COCO yet they produce the same result. Wondering if anyone could shine some light on this? Wondering if it is characteristic of FRCNN or more likely a bug in my code (however the model always predicts class 0, even as confidence scores change)
Thanks,
David