cars_trucks Computer Vision Project
Updated 3 years ago
Here are a few use cases for this project:
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Traffic Monitoring: This model can be used for monitoring traffic in real-time by identifying and counting the number of cars and trucks on the road. It could serve as a means for traffic management authorities to predict congestion and control traffic signals more effectively.
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Security Surveillance: It can be used in surveillance systems to detect unauthorized or suspicious vehicles in restricted areas. For instance, recognizing a truck in a zone where only cars are permitted.
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Autonomous Vehicles: The model can assist in the development of self-driving vehicles by helping them identify and differentiate between cars and trucks on the road. This is crucial for safe navigation and decision-making on the road.
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Logistics and Delivery Services: Companies can track and monitor their fleet of vehicles more effectively, determining whether a car or a truck is making a delivery at any given time.
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Environmental Studies: By counting the number of cars and trucks on specific routes, the model can help in estimating carbon emissions in urban areas, aiding in environmental research and planning.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
cars_trucks_dataset,
title = { cars_trucks Dataset },
type = { Open Source Dataset },
author = { drivecam },
howpublished = { \url{ https://universe.roboflow.com/drivecam/cars_trucks } },
url = { https://universe.roboflow.com/drivecam/cars_trucks },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { feb },
note = { visited on 2024-11-26 },
}