Hands On Training

Image Processing in Python

Name: Image Processing in Python
Brand: Careervira
Price: 551 AED
Availability: InStock
Rating: 5.0 (3 reviews)

DataCamp

(3)

Course Report

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Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

Video Content

4 hours

Course Description

This course on image pre-processing using Python will teach you how to transform and manipulate images for various purposes. With the help of Scikit-image, you will learn how to fix damaged images, reduce noise, and smart-resize images. Additionally, the course covers techniques like counting the number of dice and facial detection. The knowledge gained from this course can be applied in various fields such as machine learning, artificial intelligence, robotic imaging analysis, machine vision, space and medicine analysis, retailing, and more. By taking this course, you will be able to explore the fascinating world of computer vision and take your first step towards becoming proficient in image processing using Python.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Python Data Science Toolbox (Part 2)

What You Will Learn

Learn to process, transform, and manipulate images at your will

You will also learn to restore damaged images, perform noise reduction, smart-resize images, count the number of dots on a dice, apply facial detection, and much more, using scikit-image

After completing this course, you will be able to apply your knowledge to different domains such as machine learning and artificial intelligence, machine and robotic vision, space and medical image analysis, retailing, and many more

Course Content

Expand all sections

Module 1: Introducing Image Processing and scikit-image

Module 2: Filters, Contrast, Transformation and Morphology

Module 3: Image restoration, Noise, Segmentation and Contours

Module 4: Advanced Operations, Detecting Faces and Features

Course Instructors

Rebeca Gonzalez

Data Engineer

Rebeca is a data engineer and an entrepreneurial spirit. She has worked in companies like Ayesa and is now co-founder of Alio.li and APTIC, a startup that focuses on helping visually impaired people ...

Course Reviews

Average Rating Based on 3 reviews

5.0

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