Computer vision is a field of artificial intelligence (AI) that enables computers to interpret and process visual information from the world, similar to how humans use their sight. By analyzing digital images and videos, computer vision systems can identify objects, understand scenes, and extract meaningful data.
Key Components:
- Image Recognition: Identifying objects or features within an image, such as detecting faces in a photograph.
- Object Detection: Locating and classifying multiple objects within an image or video frame.
- Image Segmentation: Partitioning an image into segments to simplify analysis, often used in medical imaging to isolate regions of interest.
Applications:
- Autonomous Vehicles: Enabling self-driving cars to recognize and respond to traffic signals, pedestrians, and other vehicles.
- Healthcare: Assisting in diagnosing diseases by analyzing medical images like X-rays and MRIs.
- Retail: Enhancing shopping experiences through visual search and inventory management.
Advancements in deep learning and neural networks have significantly improved the accuracy and capabilities of computer vision systems, leading to their widespread adoption across various industries
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