The **AI Vehicle Safety Classifier** is a high-performance computer vision system designed to automatically detect and classify vehicle safety scenarios (e.g., proper seatbelt usage, distracted driving, passenger presence) from video or image inputs. Built in C++ for low-latency inference and paired with a Python reference implementation.
What is the Trojan3877/AI-Vehicle-Safety-Classifier GitHub project? Description: "The **AI Vehicle Safety Classifier** is a high-performance computer vision system designed to automatically detect and classify vehicle safety scenarios (e.g., proper seatbelt usage, distracted driving, passenger presence) from video or image inputs. Built in C++ for low-latency inference and paired with a Python reference implementation.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
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