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Real-time object detection is a computer vision technique that enables systems to identify and classify objects in images or video streams instantly. By leveraging deep learning models such as YOLO (You Only Look Once), SSD (Single Shot MultiBox Detector), or Faster R-CNN, Python-based frameworks allow efficient and accurate object detection.

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Real-time-Object-Detection

Real-time object detection is a computer vision technique that enables systems to identify and classify objects in images or video streams instantly. By leveraging deep learning models such as YOLO (You Only Look Once), SSD (Single Shot MultiBox Detector), or Faster R-CNN, Python-based frameworks allow efficient and accurate object detection.

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Real-time object detection is a computer vision technique that enables systems to identify and classify objects in images or video streams instantly. By leveraging deep learning models such as YOLO (You Only Look Once), SSD (Single Shot MultiBox Detector), or Faster R-CNN, Python-based frameworks allow efficient and accurate object detection.

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