# Traffic-Sign-Recognition-Using-YOLO
This repository contains model and training notebook for traffic sign recognition
## Dataset
The dataset used for training is [German Traffic Sign Recognition Benchmark (GTSRB)](https://benchmark.ini.rub.de/?section=gtsrb&subsection=dataset) containing 43 classes of traffic signs. The training set contains 39209 labeled images and the test set contains 12630 unlabelled images.
![image](https://user-images.githubusercontent.com/35000278/116809754-50276780-ab5d-11eb-87fa-1f513be1f876.png)
## Model
Using and YOLOv5 for training and achieved >93% mAP on the dataset.
![image](https://user-images.githubusercontent.com/35000278/116809984-cd071100-ab5e-11eb-8789-29afd40c0094.png)
## Report
Used [WandB](https://wandb.ai/mdhamani/YOLOv5) to log hyperparameters and output metrics from runs.
Download the [model](https://mega.nz/file/rV4HDQ5b#UfgDAMlVHvfzSr7PquE8HWx_6jhRmDUGBS-qyfIn_oE)
基于 YOLOv5 的对象检测算法的系统
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2024-05-17
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