Jetson AI Fundamentals - Training Object Detection Models

Dive into object detection model training with PyTorch on Jetson Nano in this 25-minute video tutorial. Explore the process of re-training SSD MobileNet, test it on the Open Images dataset, and learn how to collect custom detection datasets. Follow along as the instructor demonstrates re-training the network on a custom dataset and testing it on a live stream. Gain practical insights into creating custom object detection models and implementing them in real-time applications. Access additional resources like the Hello AI World GitHub repository, Jetson AI Fundamentals course, and NVIDIA Developer Forums to further enhance your skills in AI and object detection.

- Introduction - Training Object Detection Network
- Getting Started - Object Detection Re-training SSD MobileNet
- Testing MobileNet on Open Images dataset
- Collecting custom Detection Dataset
- Re-train network on custom dataset
- Testing network on the live stream
- Conclusion