Object Recognition with Deep Learning using OpenCV and C#
4.1 (16 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
109 students enrolled

Object Recognition with Deep Learning using OpenCV and C#

Building Object Detection and Classification Applications using Computer Vision, Deep Learning, OpenCV and C#
4.1 (16 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
109 students enrolled
Created by F. Frank Ozz
Last updated 7/2020
English
English [Auto]
Current price: $58.99 Original price: $84.99 Discount: 31% off
5 hours left at this price!
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This course includes
  • 1.5 hours on-demand video
  • 5 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Object Classification and Detection from images using Deep Learning, Computer Vision and C# Programming Language
Course content
Expand all 11 lectures 01:20:57
+ Chapter 2
6 lectures 54:16
Chapter 2.2 Procedure for object classification and files required, DNN module
04:46
Chapter 2.3 Object Classification Implementation
19:22
Chapter 2.4.0 Object Detection Intro
04:02
Chapter 2.4.1 Object Detection Application Development
11:59
Chapter 2.4.3 Yolov2 Intro
05:40
Requirements
  • Some C# programming Skills
  • My Computer Vision Fundamentals with OpenCV and C# course
Description


  • This course is the first course in its field using C# programming language and OpenCV Deep Learning Module to teach you to develop object detection or recognition applications using Deep learning techniques


  • This course is going to teach you

    • How to develop Object Recognition Applications from images ( either static or webcam/video)  using popular computer vision library OpenCV, its Deep learning Module and C# Programming Language


    • Overview of how Neural Networks detect objects from images


    • Overview of   what Convolutional Neural Networks mean and how they are trained to detect objects from images


    • Overview of ImageNet image recognition competition, base image detection frameworks ( VGG, SSD, GoogLeNet)


    • Types of object detection frameworks such as YOLO, Caffe, DarkNet


    • You will be able to develop object classification and detection using Caffe and DarkNet framework models:


      • We'll be creating an object classification application using Caffe framework and GoogleNet base's framework that can distinguish between 1000 objects.


      • We'll be creating an object detection application using MobileSSD base and Caffe framework which can detect and label objects if they belong to any of the 80 different classes of objects and their probability of match.


      • We'll be converting the object detection application to an app which can work on webcam images  or video streams in real-time(To be uploaded by next week)


      • We'll be using DarkNet framework and YOLO(You Only Look Once) algorithm  v2 to detect images in real-time for faster results(To be uploaded by next week)

    • Enjoy the course!

  • Who this course is for:
    • C# developers wanting to develop Deep Learning Computer Vision applications