Answers.Body: <p><strong>Direct Answer</strong></p>
  
  <p>The <a href="https://btsd.ethz.ch/shareddata/" rel="nofollow noreferrer">Belgium TS Dataset</a> may be helpful, as well as <a href="http://benchmark.ini.rub.de/?section=gtsdb&amp;subsection=dataset" rel="nofollow noreferrer">The German Traffic Sign Detection Benchmark</a>.</p>
  
  <p><strong>Additional Notes Based on Question Author's Idea</strong></p>
  
  <p>The idea in the question author's addendum of placing signs onto street sides and corners is a good one, but to do it repeatably and in a way that doesn't bias the training is its own research project.  However, it is a good research direction.  What would be of benefit to AV researchers worldwide is a multi-network topology and equilibrium strategy with the objective to create the following data generation features.</p>
  
  <ul>
  <li>Street sign symbol inputs in image form, with or without cropping, as movie frame sequences or single still shots, or from SVG files.</li>
  <li>Annotation generation using partially human-labelled data.</li>
  <li>3D analysis of sign angle and perspective setting so that the images appear exactly as they would from a vehicle's imaging system.</li>
  <li>Matching of lighting between the superimposed sign and the background scene.</li>
  <li>Automatic blue-screening for the sign image.</li>
  </ul>
  
  <p>This is obviously not a basic data hygiene problem. It is its own AI project, but the return on this research project in terms of furthering the AV technology is immense and may have significant data set statistical advantages over collecting data from the vendors that supply images to Google maps and other Big Data aggregators.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2018-10-21T10:49:21.037Z
Answers.Text: I thought the German/Belgium dataset contains only cropped traffic signs, but recently i found out there are also datasets for detection purposes. Thank you for your answer. I think these datasets are going to do the work.
Answers.UserDisplayName: kocica
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2018-10-21T15:14:35.580Z
Answers.Text: Really appreciate additional notes @Douglas Daseeco. Definitely you have got the point. The 3D analysis and matching of lighting came also to my mind. As you said, it's best for later down the road. Now I will try to train models on datasets mentioned in your answer and hope the results will be good. Then i would like to work on this artifical dataset generator and compare both models -- one trained on real dataset, another one on artifical.
Answers.UserDisplayName: kocica
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2018-10-21T06:42:37.253Z
Answers.LastActivityDate: 2018-10-21T14:19:19.097Z
Answers.LastEditDate: 2018-10-21T14:19:19.097Z
Answers.UserDisplayName: Douglas Daseeco
Answers.Body: <p>Look at Google's Open Image Dataset @ <a href="https://storage.googleapis.com/openimages/web/index.html" rel="nofollow noreferrer">https://storage.googleapis.com/openimages/web/index.html</a></p>
  
  <p>They provide image-level labels, object bounding boxes, object segmentation masks, and visual relationships. </p>
  
  <p>Here is the <a href="https://storage.googleapis.com/openimages/web/visualizer/index.html?set=train&amp;type=detection&amp;c=%2Fm%2F01mqdt" rel="nofollow noreferrer">link</a> for the traffic signs dataset.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2019-12-27T09:54:07.270Z
Answers.LastActivityDate: 2019-12-27T09:54:07.270Z
Answers.UserDisplayName: Mayank Bhaskar
Answers.Body: <p>Check this one by <a href="http://cvrr.ucsd.edu/LISA/lisa-traffic-sign-dataset.html" rel="nofollow noreferrer">UCSD</a>.
  It contains both video as well as images related to traffic signs. The annotations are present in csv</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2018-10-05T08:21:39.687Z
Answers.Text: It seems like great annotated dataset. Actually i forgot to mention i prefer european traffic signs. Still its better than nothing, thank you.
Answers.UserDisplayName: kocica
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2018-10-05T20:31:03.770Z
Answers.Text: My bad, I assumed you were looking for the US signs. Let me check if I can find European ones.
Answers.UserDisplayName: sachinpuranik99
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2018-10-07T17:33:16.277Z
Answers.Text: Actually I've made simple "dataset generator", which places cropped signs into images of road, on the positions where signs usually are placed. It also create annotation file at the same time. You may check it here: https://github.com/kocica/training-dataset-generator, in the results folder. The results of neural network learned on this pseudo-dataset are surprisingly pretty well.
Answers.UserDisplayName: kocica
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2018-10-05T06:36:20.197Z
Answers.LastActivityDate: 2018-10-05T06:36:20.197Z
Answers.UserDisplayName: sachinpuranik99
Answers.Body: <p>I searched the web but there are no such dataset published but <a href="https://www.mapillary.com/dataset/vistas?pKey=pBBmjuJ8yU1r2ROYRzWmFg&amp;lat=-6.7203390321265175&amp;lng=-76.83556631804362&amp;z=0.3424751357705809" rel="nofollow noreferrer">Check this out</a> </p>
  
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Answers.CreationDate: 2018-10-04T18:51:55.040Z
Answers.LastActivityDate: 2018-10-04T18:51:55.040Z
Answers.UserDisplayName: CanSevgi
Body: <p>I'm looking for <strong>annotated</strong> dataset of traffic signs. I was able to find Belgium, German and many more traffic signs datasets. The only problem is these datasets contain only cropped images, like this:</p>
  
  <p><a href="https://i.sstatic.net/6SJxW.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/6SJxW.png" alt="enter image description here"></a></p>
  
  <p>While i need (for YOLO -- You Only Look Once network architecture) not-cropped images.</p>
  
  <p><a href="https://i.sstatic.net/X6jI3.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/X6jI3.png" alt="enter image description here"></a></p>
  
  <p>I've been looking for hours but didn't find dataset like this. Does anybody know about this kind of annotated dataset ?</p>
  
  <p><strong>EDIT:</strong></p>
  
  <p>I prefer European datasets.</p>
  
Tags: <neural-networks><convolutional-neural-networks><datasets>
Title: Traffic signs dataset
UserDisplayName: kocica
ThreadText: # Traffic signs dataset
  
  (Asked by: username_0 on 2018-10-04)
  
  I'm looking for **annotated** dataset of traffic signs. I was able to find Belgium, German and many more traffic signs datasets. The only problem is these datasets contain only cropped images, like this:
  
  [![enter image description here](https://i.sstatic.net/6SJxW.png)](https://i.sstatic.net/6SJxW.png)
  
  While i need (for YOLO -- You Only Look Once network architecture) not-cropped images.
  
  [![enter image description here](https://i.sstatic.net/X6jI3.png)](https://i.sstatic.net/X6jI3.png)
  
  I've been looking for hours but didn't find dataset like this. Does anybody know about this kind of annotated dataset ?
  
  **EDIT:**
  
  I prefer European datasets.
  
  **Tags:** neural-networks, convolutional-neural-networks, datasets
  
  
  ---
  
  ## 4 answers
  
  ### Answer by username_1 on 2018-10-21. Score: 2 | Accepted answer
  
  **Direct Answer**
  
  The [Belgium TS Dataset](https://btsd.ethz.ch/shareddata/) may be helpful, as well as [The German Traffic Sign Detection Benchmark](http://benchmark.ini.rub.de/?section=gtsdb&subsection=dataset).
  
  **Additional Notes Based on Question Author's Idea**
  
  The idea in the question author's addendum of placing signs onto street sides and corners is a good one, but to do it repeatably and in a way that doesn't bias the training is its own research project. However, it is a good research direction. What would be of benefit to AV researchers worldwide is a multi-network topology and equilibrium strategy with the objective to create the following data generation features.
  
  * Street sign symbol inputs in image form, with or without cropping, as movie frame sequences or single still shots, or from SVG files.
  * Annotation generation using partially human-labelled data.
  * 3D analysis of sign angle and perspective setting so that the images appear exactly as they would from a vehicle's imaging system.
  * Matching of lighting between the superimposed sign and the background scene.
  * Automatic blue-screening for the sign image.
  
  This is obviously not a basic data hygiene problem. It is its own AI project, but the return on this research project in terms of furthering the AV technology is immense and may have significant data set statistical advantages over collecting data from the vendors that supply images to Google maps and other Big Data aggregators.
  
  > **Comments:**
  > **username_0**: I thought the German/Belgium dataset contains only cropped traffic signs, but recently i found out there are also datasets for detection purposes. Thank you for your answer. I think these datasets are going to do the work.  
  > **username_0**: Really appreciate additional notes @username_1. Definitely you have got the point. The 3D analysis and matching of lighting came also to my mind. As you said, it's best for later down the road. Now I will try to train models on datasets mentioned in your answer and hope the results will be good. Then i would like to work on this artifical dataset generator and compare both models -- one trained on real dataset, another one on artifical.  
  
  ---
  
  ### Answer by username_2 on 2019-12-27. Score: 3
  
  Look at Google's Open Image Dataset @ <https://storage.googleapis.com/openimages/web/index.html>
  
  They provide image-level labels, object bounding boxes, object segmentation masks, and visual relationships.
  
  Here is the [link](https://storage.googleapis.com/openimages/web/visualizer/index.html?set=train&type=detection&c=%2Fm%2F01mqdt) for the traffic signs dataset.
  
  
  ---
  
  ### Answer by username_3 on 2018-10-05. Score: 1
  
  Check this one by [UCSD](http://cvrr.ucsd.edu/LISA/lisa-traffic-sign-dataset.html).
  It contains both video as well as images related to traffic signs. The annotations are present in csv
  
  > **Comments:**
  > **username_0**: It seems like great annotated dataset. Actually i forgot to mention i prefer european traffic signs. Still its better than nothing, thank you.  
  > **username_3**: My bad, I assumed you were looking for the US signs. Let me check if I can find European ones.  
  > **username_0**: Actually I've made simple "dataset generator", which places cropped signs into images of road, on the positions where signs usually are placed. It also create annotation file at the same time. You may check it here: https://github.com/username_0/training-dataset-generator, in the results folder. The results of neural network learned on this pseudo-dataset are surprisingly pretty well.  
  
  ---
  
  ### Answer by username_4 on 2018-10-04. Score: 0
  
  I searched the web but there are no such dataset published but [Check this out](https://www.mapillary.com/dataset/vistas?pKey=pBBmjuJ8yU1r2ROYRzWmFg&lat=-6.7203390321265175&lng=-76.83556631804362&z=0.3424751357705809)
  
  
  ---
  
  