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. --- [Visit Topic](https://discuss.mxnet.io/t/example-without-bounding-boxes/6351/1) or reply to this email to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](https://discuss.mxnet.io/email/unsubscribe/2bdc26126662dcafd4630bbc4d221b693fe45588afe7f7470382fdf8507072ad).
