Custom object detection from new images dataset using Jetson Nano

Hi!
I’d like to know if somebody have information about how to create a custom object detection using a new dataset of images, previously preprocessed and filtered. I have found this interesting site: https://medium.com/swlh/nvidia-jetson-nano-custom-object-detection-from-scratch-using-tensorflow-and-opencv-113fe4dba134

Also if somebody have used squares or polygons for image classification using Jetson Nano (labelimg or labelme), It will be usefull.

Thanks!.

Hi,

You can find an example to train an SSD-MobileNet with a custom dataset below.

Thanks.

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