brimagelle-test1 Object Detection Dataset and Pre-Trained Model by brimagelle eyewear

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4484 images

Explore Dataset

Here are a few use cases for this project:

Smart Traffic Management: "brimagelle-test1" can be used to monitor traffic patterns and optimize traffic signals in real-time based on the current traffic flow. It detects crosswalks, traffic lights, cars, and pedestrians, which is useful for improving traffic efficiency and reducing congestion.
Pedestrian Safety: By identifying different elements involved in pedestrian crossings, "brimagelle-test1" can be used to analyze pedestrian behavior and inform city planners about potential improvements in crosswalk design and location, or the need for additional signage and lighting.
Autonomous Vehicles: The model can be integrated into autonomous vehicle systems as a tool for recognizing and appropriately responding to crosswalks, traffic lights, and pedestrians. This strengthens the overall safety and efficiency of self-driving cars.
Accessibility Aid for Visually Impaired: "brimagelle-test1" can be used in developing applications or wearables that assist visually impaired persons by providing real-time visual information about their surroundings, including crosswalks, traffic signals, and nearby vehicles or pedestrians.
Urban Planning and Infrastructure Maintenance: The model can assist municipalities in identifying damaged or poorly marked crosswalks, malfunctioning traffic lights, or defects in the road infrastructure. This helps prioritize maintenance tasks and improve city services.

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{
                            brimagelle-test1_dataset,
                            title = { brimagelle-test1 Dataset },
                            type = { Open Source Dataset },
                            author = { brimagelle eyewear },
                            howpublished = { \url{ https://universe.roboflow.com/brimagelle-eyewear/brimagelle-test1 } },
                            url = { https://universe.roboflow.com/brimagelle-eyewear/brimagelle-test1 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-04-30 },
                            }