aarcosg/traffic-sign-detection
Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".
This project provides pre-trained models and code for automatically identifying traffic signs in images or video. It takes raw image data as input and outputs the location and type of traffic signs present. This is designed for researchers and engineers developing advanced driver-assistance systems (ADAS) or autonomous vehicle technology.
336 stars. No commits in the last 6 months.
Use this if you are developing computer vision systems for autonomous driving and need to accurately detect traffic signs, or are researching the performance of different object detection models for this specific task.
Not ideal if you are looking for a complete, production-ready ADAS solution or need to detect objects other than traffic signs.
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336
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101
Language
Jupyter Notebook
License
MIT
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Last pushed
Mar 06, 2022
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