Datasets-VentifACTS Computer Vision Project
Updated 2 years ago
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downloadsHere are a few use cases for this project:
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Advanced Driving Assistance Systems (ADAS): The model could be utilized to improve the efficacy of ADAS by identifying various road-objects. This can enhance features like obstacle detection and collision avoidance, improving overall navigation and safety.
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Urban Planning: By processing large amounts of images, urban planners could gain insights on the distribution of road objects (benches, stop signs, fire hydrants) across the city, assisting in more effective city planning and maintenance.
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Augmented Reality Navigation Apps: The model could enrich AR navigation systems by identifying road objects and providing more context-relevant information to users.
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Autonomous Robots: For maintenance and security robots that operate in urban environments, identifying these road objects could help create more efficient paths, avoid obstacles, and even identify potential security issues (like a misplaced ladder next to a fire hydrant).
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Traffic Management Systems: This computer vision model can assist in monitoring traffic flow, identifying vehicles, bicycles, and pedestrians, and ensure traffic regulations are being followed, contributory to building more intelligent transport systems.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
datasets-ventifacts-rb0j5_dataset,
title = { Datasets-VentifACTS Dataset },
type = { Open Source Dataset },
author = { Dataset },
howpublished = { \url{ https://universe.roboflow.com/dataset-qmmxs/datasets-ventifacts-rb0j5 } },
url = { https://universe.roboflow.com/dataset-qmmxs/datasets-ventifacts-rb0j5 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jan },
note = { visited on 2024-12-03 },
}