5 Best Computer Vision Blogs


For those who are new to computer vision but would like to learn more, we have come up with a list of blogs from talented professionals, who occasionally post interesting reviews on algorithm application or tutorials.

The Serious Computer Vision Blog

A blog written by a PhD student in the Computer Science School at the University of Massachusetts Amherst. Articles are published a few times a year, but are very detailed and easy to grasp.
Link – https://computervisionblog.wordpress.com/

Computer Vision Talks

Very interesting blog from a computer vision consultant Eugene Khvedchenya. You can find a lot of OpenCV materials and CV digests.
Link – http://computer-vision-talks.com/

Gil’s CV Blog

The blog focuses on such topics as 3D reconstruction, descriptors, deep learning, object recognition and OpenCV. Blog’s author is a researcher at Adience, an Israeli startup that developed a mobile audience management platform.
Link – http://gilscvblog.com/

AI Computer Vision

Sami Badawi even though didn’t write any posts for his blog recently, has a good collection of blog posts from the previous years.
Link – http://blog.samibadawi.com/

Tombone’s Computer Vision Blog

Great CV blog from an Entrepreneur, Scientist, and the Co-Founder of vision.ai and a former Postdoctoral Scholar at MIT’s Computer Science and Artificial Intelligence Laboratory Tomasz Malisiewicz. Tomasz attends the biggest computer vision confeences and later in his blog makes overviews of the latest research papers from the conferences.
Link – http://www.computervisionblog.com/

As a bonus here is not a blog, but a collection of useful resources (tutorials, lectures) on computer vision, machine learning and AI – http://www.computervisiontalks.com/  and http://aishack.in/

If you know any interesting blogs related to computer vision and deep learning, please, share in the comments below!

One thought on “5 Best Computer Vision Blogs

  1. Very fascinating diary from a pc vision advisor Eugene Khvedchenya. you’ll be able to notice lots of OpenCV materials and CV digests.

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