Python for Computer Vision: A Comprehensive Guide

Explore the intersection of Python and Computer Vision in this hands-on course. Learn to leverage Python libraries and tools to develop advanced computer vision applications. From image processing to object detection, gain practical skills to solve real-world problems using computer vision techniques.

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Tamil

Last updated

Fri, 29-Nov-2024

Course description

This course focuses on Computer Vision using Python, covering essential techniques and libraries for image processing, object detection, and more. Gain practical experience with projects and develop the skills needed to build sophisticated computer vision applications.

What will i learn?

  • Understand core computer vision concepts and techniques
  • Perform image processing and feature extraction using Python
  • Develop object detection and image classification models
  • Utilize libraries like OpenCV, scikit-image, and TensorFlow
  • Apply computer vision techniques to real-world problems through practical projects

Requirements

  • Basic knowledge of Python programming
  • Understanding of mathematics and linear algebra is helpful
  • No prior knowledge of Computer Vision needed

Frequently asked question

Computer Vision is a field of artificial intelligence that enables machines to interpret and understand visual information from the world, such as images and videos.

No prior experience is required. The course covers basic to advanced topics, starting with foundational concepts and tools.

You will learn about image processing, object detection, feature extraction, and the use of Python libraries such as OpenCV and scikit-image.

Python provides powerful libraries like OpenCV, scikit-image, and TensorFlow that are used for image processing, feature extraction, and building computer vision models.

Yes, the course includes practical projects that allow you to apply computer vision techniques to solve real-world problems.

This course is open to everyone. People from many departments like Computer Science, IT, Electronics, and even non-technical areas have taken it and found it helpful.

Yes, it is! This course is great for freshers and students who want to learn the basics and grow their skills for future jobs.

Yes, this course is a good fit for professionals who want to improve their skills or switch to a new field.

Yes, people with a career gap can take this course. It helps them update their knowledge and return to work confidently.

Yes, internships are optional but are available for top performers. It’s a great extra option for learning and gaining real-world experience.

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₹1999

₹5000

Lectures

42

Skill level

Intermediate

Expiry period

Lifetime

Certificate

Yes
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