/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 ...

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 Technical Tutorials Learn image processing, video analysis, and more with hands-on OpenCV tutorials. Suitable for beginners and experienced developers.
2 Computer Vision 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 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 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 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 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 University Courses Comprehensive course on cutting-edge computer vision algorithms, deep learning techniques, and real-world applications.
8 Introduction to Image Processing & Computer Vision 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 University Courses Comprehensive course on image and multidimensional signal processing techniques, with hands-on experience and real-world problem-solving skills.
10 Computer Vision 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 University Courses Comprehensive introduction to digital image processing, covering fundamental concepts and techniques. Hands-on exercises and programming assignments to reinforce learning.
12 Biometrics 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 University Courses Comprehensive introduction to deep learning techniques for visual computing applications, including image classification, object detection, and semantic segmentation.
14 Digital Image Processing 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 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 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 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 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 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 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 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 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 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 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 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 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 University Courses Comprehensive introduction to photogrammetry principles, techniques, and applications for students, researchers, and professionals.
28 Computer Vision 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 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 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 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 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 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 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 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 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 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 University Courses Comprehensive NPTEL course on pattern recognition techniques, featuring supervised and unsupervised learning, practical applications, and hands-on exercises.
39 Pattern Recognition 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 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 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.

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