Train SSD MOBILENET

In this video, we will see how we can train SSDMOBILENET model for your own custom object detection. For this video, we have used images for apples and banana 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.

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/...

In this video, we will see how we can train SSDMOBILENET model for your own custom object detection. For this video, we have used images for apples and banana 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.

Introduction : (0:00)
Understanding training project: (0:36)
Prepare dataset: (3:14)
Annotation : (5:58)
Create labels file : (9:51)
Training your dragon : (10:27)
Training graph : (13:30)
Using the best dragon : (14:50)
Extracting ONNX file on Jetson : (15:55)
Extracting engine file on Jetson : (17:35)
Inferencing : (19:03)

Contact: [email protected]