Learn how to train object detection models using PyTorch on Jetson Nano, create custom detection datasets, and test the models on live streams. The course covers re-training SSD MobileNet, testing on Open Images dataset, and collecting custom detection datasets. The teaching method includes practical demonstrations and hands-on exercises. This course is intended for individuals interested in object detection, machine learning, and AI applications on edge devices.
Jetson AI Fundamentals - Training Object Detection Models
Overview
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
Tags
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