mydata Object Detection Dataset and Pre-Trained Model by project

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Explore Dataset

Here are a few use cases for this project:

Advanced Driver Assistance Systems (ADAS): The "mydata" model can be implemented in ADAS for real-time identification of various road elements. It can recognize other vehicles, people, bicycles, traffic lights and signs, helping to improve safety, navigation and overall driving experience.
Traffic Monitoring and Control Systems: This model could find application in smart city initiatives where it could monitor traffic movement, identify types of vehicles, and interpret various traffic lights and signals.
Autonomous Vehicle Technology: The capability to identify vehicles, signs, and signals is essential for self-driving cars. The "mydata" model can be used to provide crucial inputs for the AI of autonomous vehicles.
Augmented Reality Navigation Apps: Navigation applications could use the "mydata" model to accurately recognize and interpret road elements in real-time, providing users with enriched and interactive directions.
Security and Surveillance Systems: The model can be used in security systems for identifying unauthorized or suspicious activities such as people or vehicles in restricted areas, speeding, or non-compliance with traffic lights and signs.

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{
                            mydata-sdfje_dataset,
                            title = { mydata Dataset },
                            type = { Open Source Dataset },
                            author = { project },
                            howpublished = { \url{ https://universe.roboflow.com/project-uwo7i/mydata-sdfje } },
                            url = { https://universe.roboflow.com/project-uwo7i/mydata-sdfje },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jun },
                            note = { visited on 2024-05-02 },
                            }