Pillow: Your Ultimate Python Library for Image Processing
Have you ever found yourself marveling at the transformation of a photo through a simple black and white filter, and wondered just how it works? The key lies in the realm of computer vision. Should you choose to delve into the intricate world of computer vision and artificial intelligence, you'll quickly discover that images and their manipulation form a crucial component. But fret not! This comprehensive project guide is designed to equip you with proficiency in handling images using Pillow - a widely favored Python library. Step into the fascinating world of image processing!
4.7 (14 Reviews)
Language
- English
Topic
- Computer Vision
Enrollment Count
- 105
Skills You Will Learn
- Computer Vision, Artificial Intelligence, Python, Image Processing
Offered By
- IBMSkillsNetwork
Estimated Effort
- 1 hour
Platform
- SkillsNetwork
Last Update
- November 14, 2024
Why you should do this guided project
A Look at the Project Ahead
- What are image files and how are they stored in the system?
- Loading and plotting of images
- Image manipulation
- Converting Images into numPy arrays
What You'll Need
Skills You'll Learn
- Processing images using Pillow, Python library
Language
- English
Topic
- Computer Vision
Enrollment Count
- 105
Skills You Will Learn
- Computer Vision, Artificial Intelligence, Python, Image Processing
Offered By
- IBMSkillsNetwork
Estimated Effort
- 1 hour
Platform
- SkillsNetwork
Last Update
- November 14, 2024
Instructors
Roodra Kanwar
Data Scientist at IBM
I am a data scientist by day, superhero by night. Psych! I wish I was that cool. Only the former part is true which is still pretty cool! I believe in constant learning and it is an essential part of being a productive data enthusiast. I am also pursuing my masters in computer science from Simon Fraser University specializing in Big Data. Moreover, knowledge is transfer learning (pun intended!) and what I have gained, I plan on reflecting it back to the data community.
Read moreJoseph Santarcangelo
Senior Data Scientist at IBM
Joseph has a Ph.D. in Electrical Engineering, his research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition. Joseph has been working for IBM since he completed his PhD.
Read moreContributors
Sheng-Kai Chen
Data Scientist
Sheng-Kai Chen is a graduate student at the University of Toronto, concentrating on Information Systems & Design. Having several experiences analyzing data for retail stores and designing small software for small businesses. Sheng-Kai was inspired to shift toward answering new challenges with machine learning and new technics.
Read more