18. Introduction to Computer Vision
Computer Vision is a crucial subfield of Artificial Intelligence that allows machines to interpret and understand visual information similarly to humans. It encompasses various processes like image classification, object detection, and facial recognition, utilizing tools such as OpenCV and TensorFlow. The real-world applications of computer vision are widespread, spanning healthcare, security, and autonomous vehicles, while also presenting technical challenges and limitations.
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What we have learnt
- Computer Vision enables machines to see and comprehend the visual world.
- It automates tasks like object detection and image classification.
- Tools like OpenCV and TensorFlow are fundamental in implementing computer vision techniques.
Key Concepts
- -- Image Acquisition
- The process of capturing images or videos using cameras or other devices.
- -- Object Detection
- The technique used to identify objects within an image and locate them accurately.
- -- Convolutional Neural Networks (CNNs)
- A deep learning model specifically designed for processing visual data.
- -- Facial Recognition
- The technology used to identify or verify a person's identity based on their facial features.
- -- Image Segmentation
- A process that divides an image into segments or regions for better object detection.
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