Thank you for your reply. Actually, I found that that the error was caused by another issue. Now my training code works by returning an arbitrary bbox and a label -1:
`return nd.array(img), np.array([[100, 100, 200, 200, -1]])` By inspecting the source code, I realized that I have to return from my dataset class at least one bbox per example. But I am not sure if return a -1 as class label is the right approach. --- [Visit Topic](https://discuss.mxnet.io/t/example-without-bounding-boxes/6351/3) 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/da5b237476f0ca2847757ca064b6136f70b46f62c78c7996e678b6cd741c065e).
