snehilsanyal/traffic_sign_detection_gtsrb
Notebook and model for German Traffic Sign Recognition Benchmark (GTSRB) Dataset. The notebook contains an extensive EDA for the dataset and trains a CNN classifier on the benchmark.
This project helps self-driving car developers train and evaluate models that can identify common road signs. It takes images of German traffic signs (which are widely used globally) and outputs a trained model that can classify them. This is primarily for engineers and researchers working on autonomous vehicle perception systems.
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Use this if you need a baseline model and extensive data exploration for identifying standard English-language traffic signs.
Not ideal if you need to detect traffic signs in languages like Japanese or Korean, or if you require a full object detection system rather than just classification.
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Feb 16, 2023
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