Python for Computer Vision: Object (Traffic Sign) Detection

Python for Computer Vision: Object (Traffic Sign) Detection, available at $34.99, has an average rating of 3.35, with 16 lectures, based on 21 reviews, and has 117 subscribers.

You will learn about Develop computer vision application from scratch Build computer vision application using Python and OpenCV Improve programming skills in Python This course is ideal for individuals who are Students want to learn computer vision It is particularly useful for Students want to learn computer vision.

Enroll now: Python for Computer Vision: Object (Traffic Sign) Detection

Summary

Title: Python for Computer Vision: Object (Traffic Sign) Detection

Price: $34.99

Average Rating: 3.35

Number of Lectures: 16

Number of Published Lectures: 16

Number of Curriculum Items: 16

Number of Published Curriculum Objects: 16

Original Price: $22.99

Quality Status: approved

Status: Live

What You Will Learn

Develop computer vision application from scratch
Build computer vision application using Python and OpenCV
Improve programming skills in Python

Who Should Attend

Students want to learn computer vision

Target Audiences

Students want to learn computer vision

In this course, you are going to learn how to develop a computer vision application for object detection from scratch. In my other course “Learn Computer Vision with OpenCV and Python” , I teach computer vision from scratch to advanced special appliciations.

This course will be your one of best resources to learn Python for Computer Vision over a step-by-step detailed explained object detection application.

Course Curriculum

Chapter 1: Process Dataset

Lecture 1: Read dataset-1

Lecture 2: Read dataset-2

Chapter 2: Classical Image Processing Techniques for Object (Traffic Sign) Detection

Lecture 1: Template matching

Lecture 2: How to solve problem : overlapping results

Lecture 3: Template matching for traffic signs

Lecture 4: Template matching: Detect traffic signs by using all dataset

Lecture 5: Image feature extraction

Lecture 6: Feature matching

Lecture 7: Extract matched point coordinates

Lecture 8: Sliding window with feature matching

Lecture 9: Detect objects (traffic signs) with feature matching

Lecture 10: Compare results

Chapter 3: Find class of traffic sign

Lecture 1: How to get the class of traffic sign

Chapter 4: Train Machine Learning model for traffic sign detection

Lecture 1: Prepare dataset and training

Lecture 2: Test your trained model

Lecture 3: How to increase performance?

Instructors

Ibrahim Delibasoglu
Lecturer at Sakarya University

Rating Distribution

1 stars: 4 votes
2 stars: 0 votes
3 stars: 2 votes
4 stars: 9 votes
5 stars: 6 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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