Computer Vision Courses and Certifications

NPTEL;  IIT Guwahati

Computer Vision and Image Processing - Fundamentals and Applications

Comprehensive exploration of computer vision and image processing, covering fundamentals, techniques, and applications. Includes image formation, enhancement, segmentation, feature extraction, machine learning, and deep learning for visual data analysis.

• YouTube
• 1 day 13 hours
• On-Demand
• Free Video

University of Tübingen

Computer Vision

Explore image formation, structure-from-motion, stereo reconstruction, graphical models, and shape-from-X techniques in this comprehensive introduction to computer vision fundamentals.

• YouTube
• 15 hours
• On-Demand
• Free Online Course

IIT Hyderabad;  NPTEL

Deep Learning for Computer Vision

Explore traditional and deep learning methods for computer vision, covering image analysis, CNNs, RNNs, and generative models. Gain practical skills for real-world applications in security, healthcare, and more.

• Swayam
• 12 weeks
• On-Demand
• Free Online Course

IIT Kharagpur;  NPTEL

Computer Vision

Comprehensive exploration of imaging geometry, scene understanding, and advanced techniques in computer vision, including deep learning applications for engineering students.

• Swayam
• 12 weeks
• On-Demand
• Free Online Course

Introduction to Image Analysis for Plant Phenotyping

Understand the basics of image analysis and learn how to collect, manipulate, and analyse data from images for plant phenotyping.

• FutureLearn
• 6 weeks, 3 hours a week
• On-Demand
• Free Online Course (Audit)

Camera Model and Perspective Projection - Lecture 20

Explore camera models, image formation, lenses, and projection techniques. Learn about 3D relations, pose estimation, and scene understanding in computer vision.

• YouTube
• 48 minutes
• On-Demand
• Free Video

Action Recognition and Video Classification Techniques - Lecture 19

Learn about action recognition in videos, including 3D convolution, video classification, and recurrent neural networks like LSTM, with practical aspects and applications to datasets like UCF101 and VIRAT.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

Instance Segmentation - Lecture 17

Explore instance segmentation techniques, including semantic segmentation, ROI pooling, and mask structures, for advanced computer vision applications.

• YouTube
• 43 minutes
• On-Demand
• Free Video

CAP5415 - Semantic Segmentation Part 1 - Lecture 17

Explore semantic segmentation techniques, including pretrained layers, skip connections, and upsampling methods for advanced image analysis and understanding.

• YouTube
• 48 minutes
• On-Demand
• Free Video

CAP5415 - Object Detection: Sliding Window and Image Pyramids - Lecture 13

Explore object detection techniques including sliding windows, scale-space pyramids, and non-maximum suppression. Learn about challenges and evaluation methods in this comprehensive lecture.

• YouTube
• 52 minutes
• On-Demand
• Free Video

Person Re-Identification and Tracking in Multiple Non-Overlapping Cameras - Keynote

Explore person re-identification and tracking across multiple cameras, covering classification networks, loss functions, and innovative approaches for various camera configurations.

• YouTube
• 52 minutes
• On-Demand
• Free Video

Computer Vision: Classification and Object Recognition - Lecture 11

Explore computer vision classification techniques, including object recognition, image classification, and machine learning frameworks. Learn about nearest neighbor and linear classifiers.

• YouTube
• 47 minutes
• On-Demand
• Free Video

Computer Vision Features - Part 2 - Lecture 9

Explore advanced feature detection techniques including corner detection, HOG, and SIFT, focusing on their mathematical foundations and practical applications in computer vision.

• YouTube
• 31 minutes
• On-Demand
• Free Video

Introduction to Convolutional Neural Networks - Part 1 - Lecture 6

Comprehensive introduction to Convolutional Neural Networks, covering history, architecture, key concepts, and applications in image processing and beyond.

• YouTube
• 58 minutes
• On-Demand
• Free Video

Edge Detection Techniques - Prewitt, Sobel, Marr-Hildreth, and Canny - Lecture 4

Edge detection techniques explored: Prewitt, Sobel, Marr-Hildreth, and Canny. Covers derivative masks, image gradients, and deep learning applications for advanced computer vision tasks.

• YouTube
• 40 minutes
• On-Demand
• Free Video