Object Detection
Object detection is a computer vision technique that involves identifying and localizing objects within an image or video. It involves the use of deep learning algorithms to analyze and classify objects within an image or video stream. Object detection is a critical component of many applications, including self-driving cars, security systems, and image search engines. The process of object detection involves several steps, including image preprocessing, feature extraction, object proposal generation, and object classification. Object detection algorithms can be trained using large datasets of labeled images, and can be fine-tuned for specific applications. Some popular object detection algorithms include YOLO (You Only Look Once), Faster R-CNN (Region-based Convolutional Neural Network), and SSD (Single Shot Detector).
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