Car object detection is the process of identifying and locating cars in an image or video stream using computer vision algorithms and machine learning techniques. This task is usually performed using deep learning models such as convolutional neural networks (CNN) and object detection frameworks such as YOLO (You Only Look Once) or SSD (Single Shot Detector). Automotive object detection has many applications in areas such as autonomous vehicles, traffic monitoring, and security monitoring.
Vehicle tracking rings are used to track vehicles passing through a specific area; for our approach, the traffic lights.
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How to Detect Car Objects in a Frame?
The car object detection process includes the following steps:
Transform amateur car images into studio-grade photos with AI in seconds. Choose from 100+ backgrounds or customize your own
Create 360° spin car videos with AI for an immersive experience and improve customer engagement
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