Thailand-vehicles Computer Vision Project

MTLTransportation

Updated a year ago

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Classes (11)
full_trailer
heavy_bus
heavy_truck
light_bus
light_truck
medium_bus
medium_truck
motorcycle
passenger_car
semi_trailer
van

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Description

Here are a few use cases for this project:

  1. Traffic Monitoring and Management: The "Thailand-vehicles" model can be used in traffic management systems for monitoring, controlling and assessing the flow of different types of vehicles on Thailand’s roads. It can help authorities understand the density of particular types of vehicles and effectively plan traffic guidelines and road infrastructure.

  2. Fleet Management: For companies operating a fleet of vehicles like logistics, transportation or courier services, this model can be used to identify and monitor their different classes of vehicles. This can assist in scheduling maintenance, tracking vehicle activity, and improving the overall operational efficiency.

  3. Transportation Research: Authorities or researchers can use this model for conducting detailed studies about the distribution of different classes of vehicles across Thailand. This can help in policy-making related to road safety, vehicle taxes, emissions standards, etc.

  4. Insurance Claims Processing: Insurance companies can use the model for processing vehicle insurance claims. By being able to identify the type of vehicle, insurers can streamline their claim processing, assess damages and validate the claims more accurately.

  5. Smart Parking Solutions: This computer vision model can help develop smart parking solutions, especially in big cities in Thailand. By identifying the type of vehicles, the system can effectively manage the parking spaces and streamline the parking processes.

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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{
                            thailand-vehicles_dataset,
                            title = { Thailand-vehicles Dataset },
                            type = { Open Source Dataset },
                            author = { MTLTransportation },
                            howpublished = { \url{ https://universe.roboflow.com/mtltransportation/thailand-vehicles } },
                            url = { https://universe.roboflow.com/mtltransportation/thailand-vehicles },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { dec },
                            note = { visited on 2024-11-23 },
                            }
                        
                    

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