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1
Intro
2
Session Overview
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What we're shooting for
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Computer Vision Models
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What is Object Detection
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Model Preparation Process
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Pascal VOC
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Create a labels file
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Capture Assets
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Training and Testing
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How does Machine Learning Work
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Image Processing
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Neural Networks
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How does Machine Learning actually work though?
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Single-Shot Detection Network
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Train the model
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Things I found out the hard way
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Followed the Hello AI World from Nvidia website
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Demo
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Commands used
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Annotations file - XML Format
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Training the model
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00 Q&A Session
Description:
Learn how to train and implement custom object detection using a Jetson Nano in this comprehensive video tutorial. Discover the process of capturing robot images, labeling them, and training a Single Shot Detection Network (MobileNet SSD) to detect robots in a live video stream. Explore computer vision models, object detection techniques, and the model preparation process, including working with Pascal VOC format and creating label files. Gain insights into machine learning concepts, image processing, and neural networks. Follow along with a step-by-step demonstration, learn essential commands, and understand the XML format for annotations. The tutorial concludes with a Q&A session, providing additional insights and clarifications on custom object detection with Jetson Nano.

Jetson Nano Custom Object Detection - How to Train Your Own AI

Kevin McAleer
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