cone_detection_w_left/right Computer Vision Project
Updated 3 years ago
Here are a few use cases for this project:
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Autonomous Vehicles: Developers creating automated systems for self-driving cars can use the "cone_detection_w_left/right" model to help the vehicles identify and navigate around left and right cones commonly found on roads and construction sites.
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Traffic Regulation Systems: The model can be employed for smart traffic management, in detecting cones that signal road hazards or diversions, which is critical in quickly communicating changes in traffic rules to both human drivers and AI-controlled vehicles.
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Safety and Surveillance Systems: In factories or industrial settings, the computer vision model can be used to identify cones indicating restricted or dangerous areas, with notifications sent in real-time to administrators about possible safety protocol breaches.
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Training Simulators: In driving simulators or virtual reality applications, the model can be used to improve the realism of these environments by accurately identifying and rendering cones.
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Augmented Reality Games: Game developers can incorporate the "cone_detection_w_left/right" model in their AR games to provide more interaction with real-world objects, like cones, enhancing the gaming experience.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
cone_detection_w_left-right_dataset,
title = { cone_detection_w_left/right Dataset },
type = { Open Source Dataset },
author = { boris187654@gmail.com },
howpublished = { \url{ https://universe.roboflow.com/boris187654-gmail-com/cone_detection_w_left-right } },
url = { https://universe.roboflow.com/boris187654-gmail-com/cone_detection_w_left-right },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { apr },
note = { visited on 2024-12-26 },
}