Computer Vision is one of the most exciting fields in Machine Learning and AI. It has applications in many industries, such as self-driving cars, robotics, augmented reality, and much more. In this beginner-friendly course, you will understand computer vision and learn about its various applications across many industries. As part of this course, you will utilize Python, Pillow, and OpenCV for basic image processing and perform image classification and object detection. This is a hands-on course and involves several labs and exercises. Labs will combine Jupyter Labs and Computer Vision Learning Studio (CV Studio), a free learning tool for computer vision. CV Studio allows you to upload, train, and test your own custom image classifier and detection models. At the end of the course, you will create your own computer vision web app and deploy it to the Cloud. This course does not require any prior Machine Learning or Computer Vision experience. However, some knowledge of the Python programming language and high school math is necessary.
Introduction to Image Classification
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Skills You'll Learn
Image Processing, Algorithms, Artificial Neural Networks, Deep Learning, Computer Programming, Computer Vision, Artificial Intelligence (AI), Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Python Programming, Opencv
Reviews
4.3 (1,359 ratings)
- 5 stars64.16%
- 4 stars19.49%
- 3 stars7.06%
- 2 stars3.89%
- 1 star5.37%
SB
Jul 2, 2020
Well Explained about each and every tools and how to train and test the models and deploy into the cloud services I had very good expreience in collabrating into IBM
TC
Jun 21, 2020
It was a great course that I had fun completing.I thank the instructors and especially the course mentors for their constant and timely support.Godspeed,Tanisha Cijo.
From the lesson
Machine Learning Image Classification
Taught By
Aije Egwaikhide
Senior Data Scientist
Joseph Santarcangelo
Ph.D., Data Scientist at IBM