Computer Vision
Computer Vision is a crucial branch of artificial intelligence focused on enabling machines to interpret visual information. It encompasses tasks such as image classification, object detection, and face recognition, utilizing techniques ranging from traditional feature extraction to modern deep learning methods. The versatility of computer vision finds applications in diverse fields such as transportation, healthcare, and retail.
Enroll to start learning
You've not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Sections
Navigate through the learning materials and practice exercises.
What we have learnt
- Computer Vision allows machines to understand images and video content.
- Deep learning significantly enhances image classification and object detection techniques.
- Computer vision applications span various sectors, including autonomous vehicles and medical imaging.
Key Concepts
- -- Image Classification
- The process of assigning a label to an entire image based on its content.
- -- Object Detection
- A more advanced technique that identifies and locates objects within images and returns bounding boxes with labels and confidence scores.
- -- Face Recognition
- A technology used to identify or verify individuals by analyzing their facial features.
- -- Deep Learning
- A subset of machine learning that employs neural networks to analyze data and recognize patterns.
- -- CNN (Convolutional Neural Networks)
- A class of deep neural networks used primarily for processing structured grid data like images.
Additional Learning Materials
Supplementary resources to enhance your learning experience.