free-computer-vision-resources
  
  
    Computer Vision Free Resources | This repo collects 41 of free resources for Computer Vision. 👁️ See the world through algorithmic eyes with our Computer Vision Lab repository! Dive into a comprehensive collection of free resources and an interactive online Playground. Perfect for developers and ... 
    https://github.com/getvmio/free-computer-vision-resources
  
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Resources
- Digital Image Processing - on exercises and programming assignments to reinforce learning. |
 - Biometrics
 - Introduction to Image Processing & Computer Vision
 - OpenCV Tutorials - on OpenCV tutorials. Suitable for beginners and experienced developers. |
 - Computer Vision - on projects. Gain practical experience in implementing cutting-edge algorithms for real-world applications. |
 - UvA Deep Learning Course
 - Computational Techniques in Pixel Processing
 - Shape Analysis - on projects, experienced faculty, and a solid foundation in geometric data processing. |
 - High-Level Vision - on experience with state-of-the-art algorithms and real-world applications. |
 - Advanced Computer Vision - edge computer vision algorithms, deep learning techniques, and real-world applications. |
 - Image and Multidimensional Signal Processing - on experience and real-world problem-solving skills. |
 - Computer Vision - level course in computer vision from the Colorado School of Mines, featuring experienced professor-led lectures and a full YouTube playlist. |
 - Deep Learning For Visual Computing
 - Digital Image Processing
 - 3D Computer Vision
 - Digital Image Processing I - level course on digital image processing, taught by renowned expert Professor Charles A. Bouman. Hands-on Python labs, access to video lectures, and exploration of the latest research. |
 - Computer Vision for Visual Effects
 - Introduction to Image Processing
 - Digital Signal Processing
 - Intro to Digital Image Processing - on projects and experienced RPI instructors. |
 - Informatics 2A - on labs and tutorials reinforce concepts. |
 - Advanced Vision 2014
 - Deep Learning for Computer Vision
 - Deep Learning for Computer Vision - based deep learning methods for visual recognition tasks, including image classification and object detection. |
 - Machine Learning for Computer Vision
 - Digital Image Processing - on experience, and valuable skills for computer vision, image analysis, and multimedia applications. |
 - Image Processing and Analysis - on exercises using Python and OpenCV. Taught by experienced instructors from UC Davis. |
 - Introduction to Computer Vision - on coding exercises and real-world applications like facial recognition and self-driving cars. |
 - Machine Learning for Computer Vision
 - Photogrammetry 1 Course - on learning with Python and Jupyter Notebook. |
 - Photogrammetry Course
 - Computer Vision
 - Advanced Computer Vision - on programming projects and cutting-edge research discussions. |
 - Quantitative Big Imaging - scale imaging data. Ideal for researchers, scientists, and professionals working with complex imaging datasets. |
 - Multiple View Geometry in Computer Vision - on implementation of algorithms. |
 - Deep Learning for Self-Driving Cars - depth knowledge in this cutting-edge field. |
 - Deep Learning for Computer Vision
 - Pattern Recognition - on exercises. |
 - Pattern Recognition - on experience with implementation. |
 - Autonomous Vehicle System Engineering - on projects and simulations for practical experience. |
 - Visual Navigation for Flying Robots
 
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