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Explore Dataset

Here are a few use cases for this project:

Traffic Management: The model can be used in smart cities or traffic management systems to classify and count the types of vehicles on roads. The collected data can help in managing traffic schedules, planning lane space, and optimizing traffic lights timing.
Parking Lot Management: Automated parking lots can use the model to count and classify incoming and outgoing vehicles, helping prioritize space for different types of vehicles.
Transportation Data Analysis: Transport departments can use this model to monitor and study the usage and flow of different types of vehicles across various regions and times. This data could guide transport policy-making and consult for infrastructure development.
Surveillance and Security: Security agencies can use this model to monitor restricted areas and detect any unauthorized vehicles or unusual activities.
Road Maintenance Planning: Based on the density of various types of vehicles, city planners can determine which roads require more frequent maintenance or upgrades.

Cite This Project

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

@misc{
                            vehicle-counting-and-classification-using-computer-vision_dataset,
                            title = { Vehicle Counting and Classification Using Computer Vision Dataset },
                            type = { Open Source Dataset },
                            author = { Kathmandu University },
                            howpublished = { \url{ https://universe.roboflow.com/kathmandu-university-smwvg/vehicle-counting-and-classification-using-computer-vision } },
                            url = { https://universe.roboflow.com/kathmandu-university-smwvg/vehicle-counting-and-classification-using-computer-vision },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { sep },
                            note = { visited on 2024-04-25 },
                            }