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https://github.com/getvmio/free-computer-vision-resources
[Computer Vision Free Resources] This repository 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 developer...
https://github.com/getvmio/free-computer-vision-resources
List: free-computer-vision-resources
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[Computer Vision Free Resources] This repository 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 developer...
- Host: GitHub
- URL: https://github.com/getvmio/free-computer-vision-resources
- Owner: getvmio
- Created: 2024-07-01T07:10:23.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2024-09-01T02:25:46.000Z (3 months ago)
- Last Synced: 2024-09-25T04:01:12.749Z (3 months ago)
- Topics: awesome-list, computer-vision, free-resources, getvm, playground, programming
- Homepage: https://getvm.io/tutorials/category/computer-vision
- Size: 8.79 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- ultimate-awesome - 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 . (Other Lists / PowerShell Lists)
- free-web-development-resources - Free Computer Vision Resources
- free-sql-resources - Free Computer Vision Resources
- free-shell-scripting-resources - Free Computer Vision Resources
- free-object-oriented-programming-resources - Free Computer Vision Resources
- free-compiler-resources - Free Computer Vision Resources
- free-machine-learning-resources - Free Computer Vision Resources
- free-functional-programming-resources - Free Computer Vision Resources
- free-operating-system-resources - Free Computer Vision Resources
- free-cryptography-resources - Free Computer Vision Resources
- free-react-resources - Free Computer Vision Resources
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- free-neural-networks-resources - Free Computer Vision Resources
- free-html-resources - Free Computer Vision Resources
- free-computer-architecture-resources - Free Computer Vision Resources
- free-natural-language-processing-resources - Free Computer Vision Resources
- free-pytorch-resources - Free Computer Vision Resources
- free-node-js-resources - Free Computer Vision Resources
- free-computer-science-resources - Free Computer Vision Resources
- free-security-resources - Free Computer Vision Resources
- free-java-resources - Free Computer Vision Resources
- free-data-structures-resources - Free Computer Vision Resources
- free-version-control-resources - Free Computer Vision Resources
- free-bash-resources - Free Computer Vision Resources
- free-computer-graphics-resources - Free Computer Vision Resources
- free-linux-resources - Free Computer Vision Resources
- free-cybersecurity-resources - Free Computer Vision Resources
- free-c-resources - Free Computer Vision Resources
- free-database-resources - Free Computer Vision Resources
- free-data-analysis-resources - Free Computer Vision Resources
- free-ruby-resources - Free Computer Vision Resources
- free-embedded-systems-resources - Free Computer Vision Resources
- free-control-systems-resources - Free Computer Vision Resources
- free-game-development-resources - Free Computer Vision Resources
- free-distributed-systems-resources - Free Computer Vision Resources
- free-cpp-resources - Free Computer Vision Resources
- free-artificial-intelligence-resources - Free Computer Vision Resources
- free-cloud-computing-resources - Free Computer Vision Resources
- free-docker-resources - Free Computer Vision Resources
- free-deep-learning-resources - Free Computer Vision Resources
- free-unix-resources - Free Computer Vision Resources
- free-git-resources - Free Computer Vision Resources
- free-robotics-resources - Free Computer Vision Resources
- free-go-resources - Free Computer Vision Resources
- free-algorithm-resources - Free Computer Vision Resources
- free-software-development-resources - Free Computer Vision Resources
- free-tensorflow-resources - Free Computer Vision Resources
- free-data-science-resources - Free Computer Vision Resources
- free-devops-resources - Free Computer Vision Resources
- free-css-resources - Free Computer Vision Resources
- free-networking-resources - Free Computer Vision Resources
- free-rust-resources - Free Computer Vision Resources
- free-programming-resources - Free Computer Vision Resources
- free-haskell-resources - Free Computer Vision Resources
- free-haskell-resources - Free Computer Vision Resources
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README
# Computer Vision Free Resources
👁️ 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 researchers looking to master image processing and machine perception techniques.
## Resources
| Index | Name | Category | Description |
|---------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 1 | [OpenCV Tutorials](https://getvm.io/tutorials/opencv-tutorials) | Technical Tutorials | Learn image processing, video analysis, and more with hands-on OpenCV tutorials. Suitable for beginners and experienced developers. |
| 2 | [Computer Vision](https://getvm.io/tutorials/cs-4700-foundations-of-artificial-intelligence-cornell-university) | University Courses | Explore the foundations of computer vision and AI with hands-on projects. Gain practical experience in implementing cutting-edge algorithms for real-world applications. |
| 3 | [UvA Deep Learning Course](https://getvm.io/tutorials/uva-deep-learning-course) | University Courses | Comprehensive course on the theory and applications of deep learning, with a focus on computer vision and language modelling. Taught by experienced faculty from the University of Amsterdam. |
| 4 | [Computational Techniques in Pixel Processing](https://getvm.io/tutorials/columbia-coms-w4195-computational-techniques-in-pixel-processing-fall-2004-by-george-wolberg) | University Courses | Comprehensive course on computational techniques for pixel processing, including image enhancement, restoration, segmentation, and analysis. Taught by expert George Wolberg at Columbia University. |
| 5 | [Shape Analysis](https://getvm.io/tutorials/6838-shape-analysis-spring-2017-mit) | University Courses | Explore the fundamental concepts and techniques of shape analysis at MIT. Hands-on projects, experienced faculty, and a solid foundation in geometric data processing. |
| 6 | [High-Level Vision](https://getvm.io/tutorials/high-level-vision-cbcsl-osu) | University Courses | Comprehensive course on advanced computer vision techniques, including object detection, recognition, and segmentation. Hands-on experience with state-of-the-art algorithms and real-world applications. |
| 7 | [Advanced Computer Vision](https://getvm.io/tutorials/advanced-computer-vision-cbcsl-osu) | University Courses | Comprehensive course on cutting-edge computer vision algorithms, deep learning techniques, and real-world applications. |
| 8 | [Introduction to Image Processing & Computer Vision](https://getvm.io/tutorials/introduction-to-image-processing-computer-vision-cbcsl-osu) | University Courses | Comprehensive course on image processing and computer vision techniques, taught by experts from Ohio State University's CBCSL. |
| 9 | [Image and Multidimensional Signal Processing](https://getvm.io/tutorials/eggn-510-image-and-multidimensional-signal-processing-colorado-school-of-mines) | University Courses | Comprehensive course on image and multidimensional signal processing techniques, with hands-on experience and real-world problem-solving skills. |
| 10 | [Computer Vision](https://getvm.io/tutorials/eeng-512csci-512-computer-vision-colorado-school-of-mines) | University Courses | Comprehensive graduate-level course in computer vision from the Colorado School of Mines, featuring experienced professor-led lectures and a full YouTube playlist. |
| 11 | [Digital Image Processing](https://getvm.io/tutorials/mooc-digital-image-processing-dukecoursera) | University Courses | Comprehensive introduction to digital image processing, covering fundamental concepts and techniques. Hands-on exercises and programming assignments to reinforce learning. |
| 12 | [Biometrics](https://getvm.io/tutorials/biometrics-iit-kanpur) | University Courses | Comprehensive NPTEL course on biometrics, covering fundamental principles, techniques, and applications of biometric systems like fingerprint, iris, face, and voice recognition. |
| 13 | [Deep Learning For Visual Computing](https://getvm.io/tutorials/nocdeep-learning-for-visual-computing-iit-kharagpur) | University Courses | Comprehensive introduction to deep learning techniques for visual computing applications, including image classification, object detection, and semantic segmentation. |
| 14 | [Digital Image Processing](https://getvm.io/tutorials/digital-image-processing-iit-kharagpur) | University Courses | Comprehensive introduction to digital image processing principles and techniques, taught by experienced faculty from IIT Kharagpur. Suitable for students, researchers, and professionals interested in computer vision, multimedia, and medical imaging. |
| 15 | [3D Computer Vision](https://getvm.io/tutorials/3d-computer-vision-national-university-of-singapore) | University Courses | Comprehensive introduction to 3D computer vision, covering fundamental concepts, algorithms, and applications for autonomous driving, augmented reality, and 3D modeling. |
| 16 | [Digital Image Processing I](https://getvm.io/tutorials/ee637-digital-image-processing-i-purdue-university) | University Courses | Comprehensive graduate-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. |
| 17 | [Computer Vision for Visual Effects](https://getvm.io/tutorials/computer-vision-for-visual-effects-rpi) | University Courses | Comprehensive online course on computer vision techniques for visual effects, covering a wide range of topics from Bayesian matting to 3D reconstruction. Taught by an expert in the field. |
| 18 | [Introduction to Image Processing](https://getvm.io/tutorials/introduction-to-image-processing-rpi) | University Courses | Comprehensive course on digital image processing, covering topics like image acquisition, filtering, edge detection, and more. Taught by renowned experts and based on the popular Gonzalez and Woods textbook. |
| 19 | [Digital Signal Processing](https://getvm.io/tutorials/digital-signal-processing-rpi) | University Courses | Comprehensive course on digital signal processing principles and techniques, with detailed lectures, MATLAB code, and Cody coursework. |
| 20 | [Intro to Digital Image Processing](https://getvm.io/tutorials/ecse-4540-intro-to-digital-image-processing-spring-2015-rpi) | University Courses | Comprehensive digital image processing course covering techniques in image acquisition, enhancement, restoration, segmentation, and analysis. Hands-on projects and experienced RPI instructors. |
| 21 | [Machine Learning for Computer Vision](https://getvm.io/tutorials/machine-learning-for-computer-vision-tu-munich) | University Courses | Comprehensive course on machine learning and its applications in computer vision, taught by experts from the renowned TUM computer vision research group. |
| 22 | [Digital Image Processing](https://getvm.io/tutorials/ee225b-digital-image-processing-spring-2014-uc-berkeley) | University Courses | Comprehensive digital image processing course at UC Berkeley, covering fundamental concepts, hands-on experience, and valuable skills for computer vision, image analysis, and multimedia applications. |
| 23 | [Image Processing and Analysis](https://getvm.io/tutorials/image-processing-and-analysis-uc-davis) | University Courses | Comprehensive course on image processing and analysis techniques, including hands-on exercises using Python and OpenCV. Taught by experienced instructors from UC Davis. |
| 24 | [Introduction to Computer Vision](https://getvm.io/tutorials/mooc-introduction-to-computer-vision-udacity) | University Courses | Explore the fundamentals of computer vision with hands-on coding exercises and real-world applications like facial recognition and self-driving cars. |
| 25 | [Machine Learning for Computer Vision](https://getvm.io/tutorials/machine-learning-for-computer-vision-winter-2017-2018-uniheidelberg) | University Courses | Dive into the fundamentals of machine learning and its application to computer vision tasks like image classification, object detection, and segmentation. Taught by experienced researchers from the University of Heidelberg. |
| 26 | [Photogrammetry 1 Course](https://getvm.io/tutorials/photogrammetry-1-course-2020-university-of-bonn) | University Courses | Comprehensive introduction to photogrammetry, covering camera basics, image processing, geometric transformations, and more. Hands-on learning with Python and Jupyter Notebook. |
| 27 | [Photogrammetry Course](https://getvm.io/tutorials/photogrammetry-course-201516-university-of-bonn-germany) | University Courses | Comprehensive introduction to photogrammetry principles, techniques, and applications for students, researchers, and professionals. |
| 28 | [Computer Vision](https://getvm.io/tutorials/cap-5415-computer-vision-university-of-central-florida) | University Courses | Explore the fundamentals of computer vision, including image filtering, object detection, and more. Suitable for students with a strong background in math and programming. |
| 29 | [Advanced Computer Vision](https://getvm.io/tutorials/cap-6412-advanced-computer-vision-university-of-central-florida) | University Courses | Comprehensive review of recent advances in computer vision, preparing students for graduate research in this field. Hands-on programming projects and cutting-edge research discussions. |
| 30 | [Informatics 2A](https://getvm.io/tutorials/informatics-2a-processing-formal-and-natural-languages-2016-17-university-of-edinburgh) | University Courses | Explore the processing of formal and natural languages, including finite automata, regular expressions, and parsing techniques. Hands-on labs and tutorials reinforce concepts. |
| 31 | [Advanced Vision 2014](https://getvm.io/tutorials/advanced-vision-2014-university-of-edinburgh) | University Courses | Comprehensive course on advanced computer vision techniques, including 2D and 3D object recognition, object detection and tracking, and behavior recognition. Suitable for students and researchers in the field. |
| 32 | [Deep Learning for Computer Vision](https://getvm.io/tutorials/deep-learning-for-computer-vision-university-of-michigan) | University Courses | Comprehensive introduction to deep learning techniques for computer vision tasks, including image classification, object detection, and segmentation. |
| 33 | [Deep Learning for Computer Vision](https://getvm.io/tutorials/eecs-498598-deep-learning-for-computer-vision-university-of-michigan-fall-2019) | University Courses | Comprehensive course on neural network-based deep learning methods for visual recognition tasks, including image classification and object detection. |
| 34 | [Quantitative Big Imaging](https://getvm.io/tutorials/quantitative-big-imaging-2019-eth-zurich) | University Courses | Comprehensive course on quantitative big imaging, covering image processing, analysis, and visualization of large-scale imaging data. Ideal for researchers, scientists, and professionals working with complex imaging datasets. |
| 35 | [Multiple View Geometry in Computer Vision](https://getvm.io/tutorials/multiple-view-geometry-in-computer-vision) | University Courses | Comprehensive overview of multiple view geometry, a fundamental topic in computer vision. Covers mathematical foundations, practical applications, and hands-on implementation of algorithms. |
| 36 | [Deep Learning for Self-Driving Cars](https://getvm.io/tutorials/6s094-deep-learning-for-self-driving-cars-mit) | University Courses | Comprehensive exploration of deep learning techniques and their application to autonomous vehicle development. Gain practical experience and in-depth knowledge in this cutting-edge field. |
| 37 | [Deep Learning for Computer Vision](https://getvm.io/tutorials/cs231n-deep-learning-for-computer-vision-winter-2016-andrej-karpathy-stanford-university) | University Courses | Comprehensive course on deep learning techniques for computer vision, taught by renowned expert Andrej Karpathy. Covers image classification, object detection, and more. |
| 38 | [Pattern Recognition](https://getvm.io/tutorials/pattern-recognition-iisc-bangalore) | University Courses | Comprehensive NPTEL course on pattern recognition techniques, featuring supervised and unsupervised learning, practical applications, and hands-on exercises. |
| 39 | [Pattern Recognition](https://getvm.io/tutorials/pattern-recognition-iit-madras) | University Courses | Comprehensive introduction to pattern recognition techniques including statistical, neural network, and support vector machine approaches. Hands-on experience with implementation. |
| 40 | [Autonomous Vehicle System Engineering](https://getvm.io/tutorials/uiuc-cs-588-autonomous-vehicle-system-engineering-fall-2021-by-david-forsyth) | University Courses | Comprehensive course on autonomous vehicle design, covering deep learning, computer vision, and control theory. Hands-on projects and simulations for practical experience. |
| 41 | [Visual Navigation for Flying Robots](https://getvm.io/tutorials/lecture-visual-navigation-for-flying-robots) | University Courses | Explore the latest research and practical applications in visual navigation for autonomous flying robots, including computer vision techniques for aerial mapping and obstacle avoidance. |## More
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