nceskurachi / Traffic-Sign-Recognition-Using-YOLO

Identifying traffic signs in real time using YOLO for autonomous self driving car

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Traffic-Sign-Recognition-Using-YOLO

Open In Colab

This repository contains model and training notebook for traffic sign recognition

Dataset

The dataset used for training is German Traffic Sign Recognition Benchmark (GTSRB) containing 43 classes of traffic signs. The training set contains 39209 labeled images and the test set contains 12630 unlabelled images.

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Model

Using and YOLOv5 for training and achieved >93% mAP on the dataset.

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Report

Used WandB to log hyperparameters and output metrics from runs.

Download the model

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Identifying traffic signs in real time using YOLO for autonomous self driving car


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Language:Jupyter Notebook 80.9%Language:Python 19.1%