Course Description

Learn to build real time object detection engine using YOLOdeep learning algorithm. Deep learningis popular where a machine can be trained to detect objects in video and images. Once trained, it can be used to detect objects in any video or image.

Yolo (You only look Once) algorithm has become popular because of its real time nature. It can detect objects at 45 frames per second or within 20 ms. This makes it attractive to use it in self driving car where detecting objects in real time is key to avoid collisions. Unlike its predecessor, YOLOlooks at image only once.

Build a strong foundation in image search engines with this tutorial for beginners.

• Understanding fundamentals of YOLO

• Understanding fundamentals of deep learning and CNN

• Benefits of YOLOfor self driving car use case

• Build a real life object detection in video using YOLO, coreml and swift

• Build a real life object detection in image using YOLO, coreml and swift

  
  

• A Powerful Skill at Your FingertipsLearning the fundamentals of real time object detection puts a powerful and very useful tool at your fingertips. swift, YOLOand coreml are free, easy to learn, has excellent documentation.

No prior knowledge of CNN or deep learning is assumed. I'll be covering topics like CNN from scratch.

Jobs in object detection area are plentiful, and being able to learn real time object detection will give you a strong edge. YOLO is state of art technology that can quickly help you achieve your goal.

Learning object detection with YOLOwill help you become a computer vision developer which is in high demand.

Content and Overview

This course teaches you on how to build real time object detection engine using open source YOLO, OPNCV and Python . You will work along with me step by step to build following answers

• Real time object detection in Video

• Real time object detection in image

• Fundamentals of CNN and YOLO

What am I going to get from this course?

• Learn YOLO and build real time object detection engine from professional trainer from your own desk.

• Over 10lecturesteaching you how to build real time object detection engine

• Suitable for beginner programmers and ideal for users who learn faster when shown.

• Visual training method, offering users increased retention and accelerated learning.

• Breaks even the most complex applications down into simplistic steps.

• Offers challenges to studentsto enable reinforcement of concepts. Also solutions are described to validate the challenges.