Training custom SSD MOBILENET model to detect alphabets on Jetson Nano for Custom Object Detection

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Train custom SSD MOBILENET

In this video, we will see how we can train SSD-MOBILENET model for your own custom object detection. For this video, we have used images for alphabets and we have trained a model for this. Training has been performed on Ubuntu machine and then we have used #jetson #xavier to run that model.

If you want to train your own model, follow the steps mentioned in the repository and you will be able to train your model very easily.

Watch other custom training videos :

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Nice tutorial, thanks. I need to get the coordination of each object. How can we do that? Thanks

Deepsim
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How can i train with Gpu.I can like this but i need more speed on training.Can you help me please?

furkantoptan