YoVDO

Computer Vision - Object Detection with OpenCV and Python

Offered By: Coursera Project Network via Coursera

Tags

OpenCV Courses Python Courses Object Detection Courses

Course Description

Overview

In this 1-hour long project-based course, you will learn how to do Computer Vision Object Detection from Images and Videos. At the end of the project, you'll have learned how to detect faces, eyes and a combination of them both from images, how to detect people walking and cars moving from videos and finally how to detect a car's plate.

This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your Internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with (e.g. Python, Jupyter, and Tensorflow) pre-installed.

Prerequisites:
In order to be successful in this project, you should have a fundamental knowledge of Python and OpenCV.

Notes:
- You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want.
- This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Taught by

Ilias Papachristos

Related Courses

Google Cloud AI Services Deep Dive
A Cloud Guru
Advanced Computer Vision with TensorFlow
DeepLearning.AI via Coursera
The AI Engineer Path
Scrimba
Amazon SageMaker: Build an Object Detection Model Using Images Labeled with Ground Truth (Thai)
Amazon Web Services via AWS Skill Builder
Amazon SageMaker: Build an Object Detection Model Using Images Labeled with Ground Truth (Vietnamese)
Amazon Web Services via AWS Skill Builder