Courses from 1000+ universities
Discover an easier way to explore affordable, credit-worthy online courses with our expanded community college catalog.
600 Free Google Certifications
Computer Science
Digital Marketing
Video Editing
JavaScript Algorithms and Data Structures
Direct Tax Laws and Practice
The Bible's Prehistory, Purpose, and Political Future
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Learn Object Recognition, earn certificates with paid and free online courses from IIT Kharagpur, IIT Kanpur, NPTEL, RWTH Aachen University and other top universities around the world. Read reviews to decide if a class is right for you.
Master computer vision skills for robotics and automation. Analyze images, extract features, and recognize objects using deep learning. Gain expertise in object tracking, localization, and advanced applications like skin cancer detection.
Next-Gen Computer Vision: YOLOv8, DINO-GPT4V, OpenCV4, Face Recognition, GenerativeAI, Diffusion Models & Transformers
Build Real-World Computer Vision Applications on Raspberry Pi and Learn Basics of Neural Networks using Google Colab
Deep learning is a genre of machine learning algorithms that attempt to solve tasks by learning abstraction in data following a stratified description paradigm using non-Âlinear transforma
Training complex deep learning models with large datasets takes along time. In this course, you will learn how to use accelerated GPU hardware to overcome the scalability problem in deep learning.
The MOOC teaches the basics of industrial image processing - the hardware components, common algorithms and applications.
Explore computer vision fundamentals, deep learning applications, and advanced topics like object detection, segmentation, and action recognition in images and videos.
Explore semantic segmentation techniques, including pretrained layers, skip connections, and upsampling methods for advanced image analysis and understanding.
Explore computer vision classification techniques, including object recognition, image classification, and machine learning frameworks. Learn about nearest neighbor and linear classifiers.
Introduction to computer vision concepts, applications, and recent advancements. Explores visual perception, image types, object recognition, facial analysis, action detection, and video processing techniques.
Explore object recognition techniques, from Bag of Words to selective search, covering codebooks, visual synonyms, and object localization for effective image classification.
Learn about the Hough Transform technique for detecting lines and shapes in images, including its algorithm, applications, and variations like Generalized Hough Transform.
Explore the neural foundations of human cognition and behavior, from sensory processing to language, while discovering how mental functions are implemented in the brain's complex architecture.
Instructor Parth Anand introduces you to image tracking, object recognition, and methods for face tracking and hand tracking using AR Foundation and Unity.
Explore deep learning fundamentals, from perceptrons to neural networks, with practical insights on object recognition, vision, and advanced techniques like regularization.
Get personalized course recommendations, track subjects and courses with reminders, and more.