Training custom SSD MOBILENET model to detect alphabets on Jetson Nano for Custom Object Detection
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 :
• Training custom SSD MOBILENET model t...
• How to train SSD MOBILENET DRAGON for...
• Training custom SSD MOBILENET dragon ...
Watch all Nvidia Jetson Inference videos: • HOW TO INSTALL JETPACK OS IN EXTERNAL...
Clone the repository: https://github.com/mailrocketsystems/...
Contact: [email protected]