This project implements a traffic sign detection system using the YOLOv9 object detection model.
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Updated
Jun 18, 2024 - Python
This project implements a traffic sign detection system using the YOLOv9 object detection model.
This Python script generates a synthetic dataset of traffic sign images in COCO format, intended for training and testing object detection models. The dataset includes various traffic sign overlays placed on diverse background images, offering a wide range of scenarios to enhance model robustness.
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In this project, a traffic sign recognition system, divided into two parts, is presented. The first part is based on classical image processing techniques, for traffic signs extraction out of a video, whereas the second part is based on machine learning, more explicitly, convolutional neural networks, for image labeling.
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