SaferDrive Object Detection Dataset and Pre-Trained Model by SaferDrive

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Explore Dataset

Here are a few use cases for this project:

Advanced Driver Assistance Systems (ADAS): SaferDrive can be integrated into ADAS to improve road safety by detecting traffic objects like traffic lights and speed limits in real-time, enabling better decision-making and reducing the risk of accidents.
Autonomous Vehicle Navigation: SaferDrive can be a valuable component for self-driving cars, enhancing their understanding of the driving environment and precisely identifying various Verkehrsobjekte, allowing the vehicles to adjust their speed and make informed decisions while navigating the roads.
Traffic Management Solutions: SaferDrive can be used by city planners and traffic authorities to optimize traffic flow, signal timings, and improve infrastructure by analyzing the occurrences of different traffic objects and how they impact traffic in different areas.
Road Safety Education and Training: SaferDrive can promote road safety by being incorporated into educational materials or simulators for new drivers, helping them learn about critical traffic objects and their meanings, ensuring better preparedness when they start driving on real roads.
Traffic Incident Analysis: SaferDrive can assist in analyzing and reconstructing traffic accidents by accurately identifying different Verkehrsobjekte present in images or videos captured during the incident, providing valuable data for law enforcement, insurance companies, and accident investigators.

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{
                            saferdrive_dataset,
                            title = { SaferDrive Dataset },
                            type = { Open Source Dataset },
                            author = { SaferDrive },
                            howpublished = { \url{ https://universe.roboflow.com/saferdrive/saferdrive } },
                            url = { https://universe.roboflow.com/saferdrive/saferdrive },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-04-25 },
                            }