Training model, object detetion


Anyone can help me with a training issue?
I’m trying to get my own custom object detection on Jetson AGX Orin. I start from training the model with about 2k of images, performing about 300 epochs. The objects I want to detect are about 50. At the end of the process the most part of them are well recognized (very high %), but 1-2 are never detected, even if the number of images are the same for all objects.

What can be the problem?


We have several tutorials about training an object detector.
For example:

Please check if you can get the expected custom model by following our tutorial.

Dear @AastaLLL thank you for the answer.

Of course I know this tutorial and I followed it step by step from the beginning.
However I got the issue I talked before.

Please, Have you other suggestions about it?

Thank you very much

There is no update from you for a period, assuming this is not an issue any more.
Hence we are closing this topic. If need further support, please open a new one.


Does every category have a similar amount of training data?