Hi, I am trying to train and validate a
Gluoncv Faster R-CNN on my own dataset. But, in some experiments, I have images that do not have any bounding box, both on training and validation sets. How should my dataset class return the label in this case?
I have tried returning an empty numpy array, or
np.array([[-1, -1, -1, -1, -1]]), or
np.array([[0, 0, 0, 0, -1]])
But I get errors on the dataloader.