NERC3006-TBGUO-1-5000 Computer Vision Project

university of alabama

Updated 2 years ago

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Classes (5)
Bus Car
Pick-Up Truck
Pick-Up Truck with Trailer
Van
Description

Here are a few use cases for this project:

  1. Automated Traffic Surveillance: The model can be used in traffic monitoring applications to identify and count the number of each type of vehicle passing through a given point. This can assist urban planners in collecting traffic data to improve road infrastructure.

  2. Parking Management Systems: This model can be utilized to automate the parking process, identify each incoming vehicle's type, allocate suitable space and facilitate more streamlined parking management.

  3. Security Systems: The vehicle identification model can be implemented in security checkpoint systems that need to recognize and authorize specific classes of vehicles.

  4. Traffic Congestion Analyses: By analyzing the types of vehicles involved, this model could aid in understanding and managing traffic congestion patterns.

  5. Vehicle Insurance Verification: Insurance companies could use this model to verify the type of vehicle during claim processing or for risk assessment purposes. By being able to distinguish between different vehicle types, insurers can process claims more accurately.

Supervision

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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{
                            nerc3006-tbguo-1-5000_dataset,
                            title = { NERC3006-TBGUO-1-5000 Dataset },
                            type = { Open Source Dataset },
                            author = { university of alabama },
                            howpublished = { \url{ https://universe.roboflow.com/university-of-alabama/nerc3006-tbguo-1-5000 } },
                            url = { https://universe.roboflow.com/university-of-alabama/nerc3006-tbguo-1-5000 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { nov },
                            note = { visited on 2024-11-14 },
                            }