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University of Michigan

Python Project: pillow, tesseract, and opencv

University of Michigan via Coursera

This course may be unavailable.


This course will walk you through a hands-on project suitable for a portfolio. You will be introduced to third-party APIs and will be shown how to manipulate images using the Python imaging library (pillow), how to apply optical character recognition to images to recognize text (tesseract and py-tesseract), and how to identify faces in images using the popular opencv library. By the end of the course you will have worked with three different libraries available for Python 3 to create a real-world data-analysis project.

The course is best-suited for learners who have taken the first four courses of the Python 3 Programming Specialization. Learners who already have Python programming skills but want to practice with a hands-on, real-world data-analysis project can also benefit from this course.

This is the fifth and final course in the Python 3 Programming Specialization.

Taught by

Christopher Brooks


3.0 rating, based on 1 Class Central review

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