First Principles of Computer Vision
First Principles of Computer Vision is a Data Science YouTube channel with 95.2K subscribers. As of July 2026, it has published 151 videos with 7.9M total views (~18.8K per video).
First Principles of Computer Vision is a lecture series presented by Shree Nayar who is faculty in the Computer Science Department, School of Engineering and Applied Sciences, Columbia University. Computer Vision is the enterprise of building machines that “see.” This series focuses on the physical and mathematical underpinnings of vision and has been designed for students, practitioners, and enthusiasts who have no prior knowledge of computer vision.
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30-Day Growth
Views Trajectory · last 84 days
+0.9% views (30d) — slower than its prior 30d (+1.6%), momentum decelerating
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First Principles of Computer Vision (@firstprinciplesofcomputerv3258) is a data science YouTube channel with 95.2K subscribers. With 151 videos and 7.9M total views, the channel averages 18.8K views per video. First Principles of Computer Vision has an engagement rate of 2.02%. The channel uploads on a weekly basis, making it a inactive creator in the developer education space.