Explore object detection using the Fast R-CNN architecture in this 27-minute tutorial. Learn how to implement a small object detection application using C# and a quantized ONNX model running on CPU. Gain practical insights into machine learning and data science techniques as you follow along with the step-by-step demonstration. Access the accompanying code on GitHub to further enhance your understanding and apply the concepts to your own projects.
Object Detection with Faster R-CNN in C# Using ONNX on CPU
The Machine Learning Engineer via YouTube
Overview
Syllabus
MLOPS: Object detection with Faster R-CNN in C# format ONNX in CPU #machinelearning #datascience
Taught by
The Machine Learning Engineer
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