Wide-angle-docking Computer Vision Project
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Here are a few use cases for this project:
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Smart Home Control: Utilizing the "Wide-angle-docking" model to intelligibly identify and manage varied lighting systems within a smart home context, enabling automation and voice-controlled functionality.
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Lighting Design and Architecture: A handy tool for lighting designers, architects, and interior decorators who could use the model to recognize different light fixtures and their impact on a room or building.
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Warehouse Management Systems: In a large warehouse with numerous vessels, the model can identify the light sources and their classes, thereby understanding if they're functioning correctly or require maintenance.
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Traffic Light Recognition: Integration into self-driving car systems to recognize and understand traffic light signals in various complex environments and from wide angles.
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Augmented Reality App Development: This model can be deployed in AR applications for virtual home or office designs where the types and placement of lights impact the overall visual effects.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
wide-angle-docking_dataset,
title = { Wide-angle-docking Dataset },
type = { Open Source Dataset },
author = { Aquabot2 },
howpublished = { \url{ https://universe.roboflow.com/aquabot2/wide-angle-docking } },
url = { https://universe.roboflow.com/aquabot2/wide-angle-docking },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { may },
note = { visited on 2024-11-21 },
}