YoVDO

Object Detection with Faster R-CNN in C# Using ONNX on CPU

Offered By: The Machine Learning Engineer via YouTube

Tags

Object Detection Courses Machine Learning Courses C# Courses Computer Vision Courses MLOps Courses Quantization Courses ONNX Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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.

Syllabus

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


Taught by

The Machine Learning Engineer

Related Courses

Beginning Game Programming with C#
University of Colorado System via Coursera
Programming with C#
Microsoft via edX
DEV206.1x: Introduction to XAML and Application Development
Microsoft via edX
Introduction to Game Development
Michigan State University via Coursera
Designing Advanced Applications using XAML
Microsoft via edX