About this courseSkip About this course
Computer Vision is the art of distilling actionable information from images.
In this hands-on course, we'll learn about Image Analysis techniques using Python packages like PIL, Scikit-Image, OpenCV, and others. You'll then explore machine learning for computer vision, including deep learning techniques for image classification, object detection, and semantic segmentation; using industry-standard machine learning frameworks like SciKit-Learn, Keras, and PyTorch.
Note: These courses will retire in June. Please enroll only if you are able to finish your coursework in time.
What you'll learnSkip What you'll learn
- Explore, manipulate, and analyze images using Python packages for computer vision.
- Implement image classification using classical machine learning and deep learning techniques.
- Use data augmentation and transfer learning to create highly-effective convolutional neural networks (CNNs)
- Go beyond image classification to use object detection and semantic segmentation models.
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Who can take this course?
Unfortunately, learners from one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. EdX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.