<p>Here are some articles, the first three include code:</p>

<ul>
<li><a href="https://becominghuman.ai/deep-learning-for-traffic-signs-recognition-aead0ea7273" rel="nofollow noreferrer">Deep Learning for Traffic Signs Recognition, by Moataz Elmasry, April 2, 2018</a></li>
<li><a href="https://www.pyimagesearch.com/2019/11/04/traffic-sign-classification-with-keras-and-deep-learning/" rel="nofollow noreferrer">Traffic Sign Classification with Keras and Deep Learning, by Adrian Rosebrock, November 4, 2019</a></li>
<li><a href="https://towardsdatascience.com/traffic-sign-detection-using-convolutional-neural-network-660fb32fe90e" rel="nofollow noreferrer">Traffic Sign Detection using Convolutional Neural Network, by Sanket Doshi, September 1, 2019</a></li>
<li><a href="https://www.rmit.edu.au/news/all-news/2019/jun/street-view-signs" rel="nofollow noreferrer">AI to manage road infrastructure via Google Street View, June 19, 2019</a></li>
</ul>

CC BY-SA 4.0
2020-02-23T18:15:36.220Z
2020-02-23T18:15:36.220Z
Brian O'Donnell
<p>Maybe this is helpful:
<a href="https://towardsdatascience.com/recognizing-traffic-signs-with-over-98-accuracy-using-deep-learning-86737aedc2ab" rel="nofollow noreferrer">Recognising Traffic Signs With 98% Accuracy Using Deep Learning, by Eddie Forson</a>.</p>

<p>Greetings
Mario</p>

CC BY-SA 4.0
2020-02-22T20:16:36.677Z
2020-02-24T10:29:19.687Z
2020-02-24T10:29:19.687Z
Mario Versluys
<p>I'm working on a project for my college to recognize traffic signs in pictures. I searched a lot but can't find the best method to do it.</p>
<p>Can someone recommend me a paper, article, or even GitHub link that describes the best way to achieve this? It will be helpful.</p>

<deep-learning><object-recognition><object-detection>
What is the best way to detect and recognize traffic signs in a picture?
all_alone
# What is the best way to detect and recognize traffic signs in a picture?

(Asked by: username_0 on 2020-02-22)

I'm working on a project for my college to recognize traffic signs in pictures. I searched a lot but can't find the best method to do it.

Can someone recommend me a paper, article, or even GitHub link that describes the best way to achieve this? It will be helpful.

**Tags:** deep-learning, object-recognition, object-detection


---

## 2 answers

### Answer by username_1 on 2020-02-23. Score: 1

Here are some articles, the first three include code:

* [Deep Learning for Traffic Signs Recognition, by Moataz Elmasry, April 2, 2018](https://becominghuman.ai/deep-learning-for-traffic-signs-recognition-aead0ea7273)
* [Traffic Sign Classification with Keras and Deep Learning, by Adrian Rosebrock, November 4, 2019](https://www.pyimagesearch.com/2019/11/04/traffic-sign-classification-with-keras-and-deep-learning/)
* [Traffic Sign Detection using Convolutional Neural Network, by Sanket Doshi, September 1, 2019](https://towardsdatascience.com/traffic-sign-detection-using-convolutional-neural-network-660fb32fe90e)
* [AI to manage road infrastructure via Google Street View, June 19, 2019](https://www.rmit.edu.au/news/all-news/2019/jun/street-view-signs)


---

### Answer by username_2 on 2020-02-22. Score: 1

Maybe this is helpful:
[Recognising Traffic Signs With 98% Accuracy Using Deep Learning, by Eddie Forson](https://towardsdatascience.com/recognizing-traffic-signs-with-over-98-accuracy-using-deep-learning-86737aedc2ab).

Greetings
Mario


---

