Oblique Computer Vision Project
Updated 2 years ago
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downloadsHere are a few use cases for this project:
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Traffic Monitoring System: "Oblique" can be applied for high-performance traffic monitoring systems, enabling the identification of different vehicle types and pedestrians, thereby providing rich data to manage traffic efficiently or to design better traffic policies.
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Automated Parking Systems: The model can be used for developing automated parking systems, where different types of vehicles could be identified and accommodated accordingly.
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Security Surveillance: In case of theft, accidents, or any other security-related incidents, "Oblique" could help identify the class of vehicle involved. This information can be vital for law enforcement agencies.
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Autonomous Driving: The model can be beneficial in building autonomous driving systems, helping self-driving vehicles recognize and classify various objects on the road, ensuring safer navigation.
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Traffic Breach Detection: The algorithm can aid in traffic rule violation detection like identifying whether a specific type of vehicle is allowed into a specific road segment or parking area at a certain time or not.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
oblique_dataset,
title = { Oblique Dataset },
type = { Open Source Dataset },
author = { AIUnioncar },
howpublished = { \url{ https://universe.roboflow.com/aiunioncar/oblique } },
url = { https://universe.roboflow.com/aiunioncar/oblique },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { oct },
note = { visited on 2024-12-03 },
}