signs for project Object Detection Dataset and Pre-Trained Model by AI

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Explore Dataset

Here are a few use cases for this project:

Traffic Monitoring Systems: This model could be utilized to automatically monitor live traffic footage and alert authorities to any irregularities such as drivers not respecting signs. For example, it can be used to identify motorists who ignore stop signs or pedestrian-crossing rules, thereby enforcing traffic compliance and ensuring public safety.
Autonomous Vehicle Navigation: Self-driving cars could leverage this model to more accurately interpret road signs and pedestrian duty signals. This would enhance their situational awareness, enabling them to behave accordingly (e.g., stopping at stop signs, or allowing pedestrians to cross at crosswalks).
Traffic Education Software: An application could use this model to educate users about various traffic signals and signs. This could come in handy for driving schools or learning programs for students learning to drive or new drivers.
Urban Planning Analytics: City planners could use this model to analyze footages from around the city to understand and study the placement and effectiveness of different signage. For example, pinpointing areas where additional crossing signs may be necessary for public safety.
Augmented Reality Apps: For visually impaired individuals, an AR application could incorporate this model to identify and interpret road signs and signals, providing audio instructions to assist with navigation and safety in the real world.

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{
                            signs-for-project_dataset,
                            title = { signs for project Dataset },
                            type = { Open Source Dataset },
                            author = { AI },
                            howpublished = { \url{ https://universe.roboflow.com/ai-abinq/signs-for-project } },
                            url = { https://universe.roboflow.com/ai-abinq/signs-for-project },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jun },
                            note = { visited on 2024-05-05 },
                            }