Traffic Signs Detection Europe 2 Computer Vision Project

jaber

Updated a month ago

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Classes (17)
bend crosswalk no_entry
no_left_turn
no_overtaking
no_right_turn
no_stopping
no_u_turn
parking pedestrian
road_narrows
roadworks
slippery_road
speed_bump
speed_limit stop yield
Description

Img

Dataset structure

The dataset contains 55 classes of unique traffic signs. There are 4 main categories:

  • forb
  • info
  • mand
  • warn

Each class has one of these prefixes in it's name indicating the category of the traffic sign: forbidden, informational, mandatorry and warning, respectively.

Each image is of size 640x640px. If a traffic sign was recognizable it was labeled but if I could barely tell what the sign was it was not labeled, no matter the distance to the traffic sign. The dataset is not perfectly balanced due to the frequency of traffic signs. Naturally some signs appear more than others. There are some images with no labels, those were collected when models would get false positive detections.

Data collection

Most of the images were collected from Google Maps, Romania, and manually labeled. There's a small part of images that were automatically collected from YouTube videos, by a trained model, and then manually checked (around 150).

Supervision

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Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            traffic-signs-detection-europe-2_dataset,
                            title = { Traffic Signs Detection Europe 2 Dataset },
                            type = { Open Source Dataset },
                            author = { jaber },
                            howpublished = { \url{ https://universe.roboflow.com/jaber-3enyd/traffic-signs-detection-europe-2 } },
                            url = { https://universe.roboflow.com/jaber-3enyd/traffic-signs-detection-europe-2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { oct },
                            note = { visited on 2024-11-21 },
                            }