Public and Private Transport Computer Vision Project

DPI

Updated a year ago

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Description

Here are a few use cases for this project:

  1. Traffic Monitoring and Management: This model can be used by traffic control centers to monitor and manage traffic flow in real-time, identifying different types of vehicles, congestion patterns and potentially predicting traffic jams.

  2. Urban Planning and Infrastructure Development: This model can help city planners understand the usage of different types of vehicles in specific areas, helping in designing better road infrastructure, public transportation routes and schedules.

  3. Autonomous Vehicles: The model can help in the development and enhancement of autonomous vehicle technology by identifying and classifying different types of vehicles on the road, allowing the self-driving vehicle to make accurate decisions.

  4. Security and Surveillance: The model can be applied in surveillance systems to identify and track specific vehicle types, potentially aiding in crime investigation or preventing theft.

  5. Traffic Data Collection for Research: Researchers in transportation, urban studies, or environmental sciences could use this model to collect vehicle data, supporting various studies like emission levels from different vehicle types or the effectiveness of public transport systems.

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Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            public-and-private-transport_dataset,
                            title = { Public and Private Transport Dataset },
                            type = { Open Source Dataset },
                            author = { DPI },
                            howpublished = { \url{ https://universe.roboflow.com/dpi/public-and-private-transport } },
                            url = { https://universe.roboflow.com/dpi/public-and-private-transport },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { oct },
                            note = { visited on 2024-11-23 },
                            }