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Learner Reviews & Feedback for Computer Vision - Object Detection with OpenCV and Python by Coursera Project Network

3.9
stars
494 ratings
101 reviews

About the Course

In this 1-hour long tutorial, you will learn how to do Computer Vision Object Detection from Images and Videos. At the end of the tutorial, 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 tutorial 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: 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 tutorial works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

Top reviews

OE
Sep 15, 2020

Excellent project for beginners in this domain. Clear explanation and repeated practice over various scenarios made it easier to pick up the codes for object detection.

NS
May 10, 2020

The course was pretty amazing, especially the tutor was nice and I could understand everything he explained and I am in love with Rhyme, it makes learning so easy.

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26 - 50 of 100 Reviews for Computer Vision - Object Detection with OpenCV and Python

By Dr. P W

May 28, 2020

This is good course for beginners

By Akanksha P

Sep 20, 2020

very nicely elaborated project

By Rishabh R

May 11, 2020

Excellent project guidance

By Gangone R

Jun 17, 2020

very useful course

By Gaikwad N

Jul 5, 2020

excellent guiding

By Praveen K R

Aug 12, 2020

Very good course

By manikala m

Jun 12, 2020

good imformation

By Nidhi K

Sep 2, 2020

Well Directed!

By Komal R

Sep 26, 2020

Great Course!

By Manas R M

Nov 26, 2020

Excellent

By Doss D

Jun 19, 2020

Thank you

By ZOHEB Z W

Apr 22, 2020

amazing

By AISHWARYA V

Jun 6, 2020

Awsome

By Md. R Q S

Sep 20, 2020

great

By 121910304017 V K M

Dec 3, 2020

good

By 121910304030 D B

Dec 1, 2020

good

By Saurabh A

Aug 28, 2020

good

By Vajinepalli s s

Jun 16, 2020

nice

By Kammari K

Jun 13, 2020

good

By Kirti D

May 21, 2020

nice

By Harshavardhan N

May 18, 2020

Good

By Oktavian Y P

Apr 30, 2020

joss

By Yuvraj S C

Sep 22, 2020

A1

By Ruben F G d A

Jul 10, 2020

Some things were diferent on the lab (e.g. the path of the first HaarCascade imported and the name of the HaarCascade of the plate detection). This made to dispend more time to identify the "problem". But certainly there is a good side of this.

By Isuru A

Aug 6, 2020

Good guided project which covers how to use cascade files to detect objects in an image with open cv.