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Counting cars on highways in videos is conducted by using the pre-trained YOLO4 multiple object detection algorithm (which is a deep learning model) with OpenCV and the centroid tracking algorithm.
automated techniques that can accurately and efficiently count objects in images, enabling researchers and practitioners to streamline their workflow and extract meaningful insights from visual data.
Traditional Image Processing Techniques for Nailfold Capillary Detection: A project showcasing a non-ML/DL approach to detect and count nailfold capillaries, emphasizing the application of fundamental image analysis methods in medical diagnostics.