Russian signs Object Detection Dataset and Pre-Trained Model by cchegeu

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Explore Dataset

Here are a few use cases for this project:

Automated Driving: The "Russian signs" model can be used in automated driving systems to help identify traffic situations and ensure compliance with traffic rules. The model could interpret signs such as speed limits, parking regulations, and various other road signs, ensuring safe navigation.
Traffic Rule Enforcement: Law enforcement agencies could use this model to automatically detect and record violations of traffic rules by identifying no parking zones, speed limits, and other prohibitive signs, which may go unnoticed by human officers.
Mapping Services: Companies like Google or Yandex can utilize this computer vision model to enhance the information provided on their mapping services. The model can help to identify and categorize different streets, areas, and conditions according to the signs present, thus giving users more detailed or specialized map information.
Driver-Assistance Apps: The model can be integrated into driver-assistance applications to alert drivers about upcoming signs or road conditions. For instance, if the model detects a "30Limit" sign, the app might warn the driver to slow down.
Traffic Management: City traffic management can use this model to analyze the needs for specific signs in different areas. By identifying the existing signs, they can assess if the current signs are enough or need new ones to maintain smooth traffic.

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{
                            russian-signs_dataset,
                            title = { Russian signs Dataset },
                            type = { Open Source Dataset },
                            author = { cchegeu },
                            howpublished = { \url{ https://universe.roboflow.com/cchegeu/russian-signs } },
                            url = { https://universe.roboflow.com/cchegeu/russian-signs },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { dec },
                            note = { visited on 2024-06-29 },
                            }