towardsdatascience.com
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Towards Data Science is a widely read Medium publication featuring practical tutorials, explainers, and case studies on data science, machine learning, and AI. The site covers computer vision topicsāfrom CNNs and image processing to practical projectsāwith code examples and step-by-step guides.
More resources on Computer Vision
Papers with Code - Computer Vision
Benchmarks, datasets, and implementations for CV papers
PyImageSearch
Free and paid tutorials on OpenCV, deep learning for CV
OpenCV
Official Open Source Computer Vision Library with tutorials
Computer Vision Basics
By the end of this course, learners will understand what computer vision is, as well as its mission of making computers see and interpret the world as humans do, by learning core concepts of the field and receiving an introduction to human vision capabilities. They are equipped to identify some key application areas of computer vision and understand the digital imaging process. The course covers crucial elements that enable computer vision: digital signal processing, neuroscience and artificial intelligence. Topics include color, light and image formation; early, mid- and high-level vision; and mathematics essential for computer vision. Learners will be able to apply mathematical techniques to complete computer vision tasks. This course is ideal for anyone curious about or interested in exploring the concepts of computer vision. It is also useful for those who desire a refresher course in mathematical concepts of computer vision. Learners should have basic programming skills and experience (understanding of for loops, if/else statements), specifically in MATLAB (Mathworks provides the basics here: https://www.mathworks.com/learn/tutorials/matlab-onramp.html). Learners should also be familiar with the following: basic linear algebra (matrix vector operations and notation), 3D co-ordinate systems and transformations, basic calculus (derivatives and integration) and basic probability (random variables). Material includes online lectures, videos, demos, hands-on exercises, project work, readings and discussions. Learners gain experience writing computer vision programs through online labs using MATLAB* and supporting toolboxes. * A free license to install MATLAB for the duration of the course is available from MathWorks.
CS231n: Convolutional Neural Networks for Visual Recognition
Learn computer vision with CS231n! This course covers convolutional neural networks, taught by Justin Johnson. Start building your CV skills now!
opencv.org
OpenCV.org is the official home of the OpenCV library, a leading open-source toolkit for real-time computer vision and image processing. It offers downloads, documentation, tutorials, samples, and community resources to help users learn, develop, and deploy CV applications.