Traffic Pole Object Detection Dataset and Pre-Trained Model by yolov5

Images

351 images

Explore Dataset

Here are a few use cases for this project:

Traffic Management: The "Traffic Pole" model could help to automatically identify various types of poles present on the roads or highways. This can assist traffic officials in maintaining, replacing or upgrading infrastructure, ultimately leading to better traffic management.
Autonomous Vehicles: The model can be used in the field of self-driving cars. Autonomous vehicles require a deep understanding of their surroundings, so being able to accurately identify different types of poles such as street lights, traffic signal poles, etc., can improve their navigational capabilities and ensure safer journeys.
Urban Planning: City planners can use the model to analyze the distribution and condition of poles throughout a city. This can guide decisions on where to place new poles, whether it's for lighting, traffic signals, or other purposes, and ensure optimal urban development.
Virtual Reality and Gaming: It can be used to build realistic virtual realities or video games that require accurate modeling of real-world environments, including the types and positions of various poles.
Accident Investigations: In traffic accident investigations, the model can help investigators understand the scene better by accurately identifying the types of poles in accident photos or video footage. It can contribute to deducing factors that might have contributed to the occurrence of the accident.

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.

Cite This Project

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

@misc{
                            traffic-pole_dataset,
                            title = { Traffic Pole Dataset },
                            type = { Open Source Dataset },
                            author = { yolov5 },
                            howpublished = { \url{ https://universe.roboflow.com/yolov5-kvjad/traffic-pole } },
                            url = { https://universe.roboflow.com/yolov5-kvjad/traffic-pole },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-06-16 },
                            }