phubber voidance dataset Object Detection Dataset and Pre-Trained Model by test

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Explore Dataset

Here are a few use cases for this project:

Autonomous Vehicles Navigation: Utilize this model to help enhance autonomous vehicle systems by accurately identifying different objects and elements on the road such as cars, pedestrian crossings, traffic lights, and other vehicles, to facilitate smoother movement while ensuring safety.
Traffic Management Systems: Implement this model to monitor traffic conditions and detect various road elements in real-time. This would provide valuable data for traffic management systems, which can adapt traffic light patterns and inform driver-route suggestions accordingly.
Road Safety Applications: Use the model to create applications that alarm pedestrians or drivers when they are engaging in risky behaviours like jaywalking or speeding. The model can detect objects like a person, red lights, and zebras crossing to evaluate if there's a risk.
Smart City Planning: Urban planners could utilize this model to analyze traffic patterns and road usage in certain areas, helping urban planners identify areas where infrastructure can be modified or improved for better traffic flow or pedestrian safety.
E-scooter and Bike Rental Services: E-scooter and bike rental companies could use the model to add additional safety features on their vehicles. For example, warning the riders about upcoming traffic lighthouses, tracking whether the rider is using appropriate paths and following traffic rules.

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{
                            phubber-voidance-dataset_dataset,
                            title = { phubber voidance dataset Dataset },
                            type = { Open Source Dataset },
                            author = { test },
                            howpublished = { \url{ https://universe.roboflow.com/test-lw9ro/phubber-voidance-dataset } },
                            url = { https://universe.roboflow.com/test-lw9ro/phubber-voidance-dataset },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-06-18 },
                            }