MLOPS: Object detection with Faster R-CNN in C# format ONNX in CPU #machinelearning #datascience
Description:
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