Radu Oprea

Traffic Signs Detection Europe

Object Detection

Roboflow Universe Radu Oprea Traffic Signs Detection Europe

Traffic Signs Detection Europe Computer Vision Project

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4381 images
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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).

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite This Project

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

@misc{
                            traffic-signs-detection-europe_dataset,
                            title = { Traffic Signs Detection Europe Dataset },
                            type = { Open Source Dataset },
                            author = { Radu Oprea },
                            howpublished = { \url{ https://universe.roboflow.com/radu-oprea-r4xnm/traffic-signs-detection-europe } },
                            url = { https://universe.roboflow.com/radu-oprea-r4xnm/traffic-signs-detection-europe },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { feb },
                            note = { visited on 2024-06-18 },
                            }
                        

Connect Your Model With Program Logic

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Source

Radu Oprea

Last Updated

4 months ago

Project Type

Object Detection

Subject

Traffic-sings

Views: 1725

Views in previous 30 days: 356

Downloads: 77

Downloads in previous 30 days: 23

License

CC BY 4.0

Classes

forb_ahead forb_left forb_overtake forb_right forb_speed_over_10 forb_speed_over_100 forb_speed_over_130 forb_speed_over_20 forb_speed_over_30 forb_speed_over_40 forb_speed_over_5 forb_speed_over_50 forb_speed_over_60 forb_speed_over_70 forb_speed_over_80 forb_speed_over_90 forb_stopping forb_trucks forb_u_turn forb_weight_over_3.5t forb_weight_over_7.5t info_bus_station info_crosswalk info_highway info_one_way_traffic info_parking info_taxi_parking mand_bike_lane mand_left mand_left_right mand_pass_left mand_pass_left_right mand_pass_right mand_right mand_roundabout mand_straigh_left mand_straight mand_straight_right prio_give_way prio_priority_road prio_stop warn_children warn_construction warn_crosswalk warn_cyclists warn_domestic_animals warn_other_dangers warn_poor_road_surface warn_roundabout warn_slippery_road warn_speed_bumper warn_traffic_light warn_tram warn_two_way_traffic warn_wild_animals