Overview
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.
Syllabus
- 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
Taught by
NVIDIA Developer