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The project involves using Python and the Haar Cascade dataset to build a system for detecting cars and pedestrians. Python is utilized for programming, while the Haar Cascade dataset provides pre-trained models for object detection. The system employs image processing techniques to identify cars and pedestrians in images or videos.

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README.md		README.md
cars.mp4		cars.mp4
fullbody.xml		fullbody.xml
haarcascade_car.xml		haarcascade_car.xml

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Cars-Pedestrians-Detection

It is a machine learning model for detecting cars and pedestrians.

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The project involves using Python and the Haar Cascade dataset to build a system for detecting cars and pedestrians. Python is utilized for programming, while the Haar Cascade dataset provides pre-trained models for object detection. The system employs image processing techniques to identify cars and pedestrians in images or videos.

opencv data-science machine-learning computer-vision crash-reporting machine-learning-algorithms pyhton smartcity roadsafety haarcascade-classifier fullbodytracking

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