Car_Ped_Dataset Computer Vision Project
Updated 3 years ago
Here are a few use cases for this project:
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Autonomous Vehicle Development: This dataset can be used to improve the decision-making capabilities of self-driving cars, helping them recognize cars and pedestrians to ensure safe navigation.
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Traffic Management Systems: It can act as a foundation for developing intelligent traffic management systems that track and analyze road traffic congestion by identifying cars and pedestrians in real-time.
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Surveillance and Security: The model can help in monitoring pedestrian and vehicular movement in sensitive or restricted areas, aiding in the enforcement of security measures.
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Smart City Planning: Urban planners can use this dataset to understand traffic patterns, pedestrian movement, and to support strategical city development plans.
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Accident Prevention Analysis: By incorporating this model into road safety analysis system, it can provide insights into risky behaviors, detect potential accidents, and therefore help improve road safety measures.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
car_ped_dataset-gnwkn_dataset,
title = { Car_Ped_Dataset Dataset },
type = { Open Source Dataset },
author = { new-workspace-rt5wx },
howpublished = { \url{ https://universe.roboflow.com/new-workspace-rt5wx/car_ped_dataset-gnwkn } },
url = { https://universe.roboflow.com/new-workspace-rt5wx/car_ped_dataset-gnwkn },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { feb },
note = { visited on 2025-03-11 },
}