Hello intelligent people. Am seeking for an answer to my question. I'd like to know if there is a mxnet model that can train on a type of dataset that has multiple different classes annotated in a single image. It's like for i.e. an annotated image that has 5 bboxes of different classes, let's say classes are named as 'A', 'B', 'C', 'D', and 'E'. Is there actually a type of mxnet model that can handle this type of dataset? Could you please add some link to that model so that I could check it and see if I can start from there.
Thanks in advance for your answer. --- [Visit Topic](https://discuss.mxnet.apache.org/t/mxnet-model-to-train-multiple-different-classes-in-a-single-annotated-image/6773/1) 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.apache.org/email/unsubscribe/1b7ebe49181654e290fbb9ee6e294048a71b3384ea9d2eaac2815f215535d664).
