Computer Vision
Computer Vision is a field of artificial intelligence and computer science that focuses on enabling computers to interpret and understand visual information from the real world, similar to the way humans do. It involves developing algorithms and techniques to extract meaningful insights, recognize patterns, and make decisions from digital images or videos. Computer vision tasks include image classification, object detection, facial recognition, image segmentation, and more. Python libraries like OpenCV, provides powerful tools for implementing computer vision algorithms. Understanding mathematical concepts such as linear algebra, calculus, and image processing techniques is crucial for mastering computer vision. Computer vision tutorials, projects, and interview questions further deepen understanding and proficiency in this field.
Prerequisite for Computer Vision
- Math for Computer Vision
Computer Vision with Python
- Python for Computer Vision
- Image Preprocessing Python
- Computer Vision Tutorial
- Computer Vision Projects
- Computer Vision Interview Questions
What is AI ML DS and How To Get Started?
In this AI-ML-DS tutorial, you’ll find a wealth of resources designed to demystify these complex fields and empower you to develop practical skills and insights. Whether you’re just starting or looking to deepen your understanding, our tutorials cover everything from the basics of AI and ML algorithms to advanced data science techniques.