Shadow/Reflection_T 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 Photography Assistance: The model can be used by photography apps and software to assess the quality of lighting and reflections in a given shot, providing enhancement suggestions to the user.
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Intelligent Lighting Design: Architects and interior designers can use this model to conduct real time simulations of how light interacts with different colors and materials, thus optimizing the lighting design of a space or building.
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Augmented Reality Enhancements: AR app developers can use this model to create more realistic AR experiences by accurately adding or adjusting reflections and shadows of virtual objects.
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Surveillance and Security: The model can be implemented in security systems to check the authenticity of a scene, by identifying normal shadows and reflections and detecting any anomalies.
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Autopilot Car Systems: The model could be used to improve the precision of autonomous vehicle guidance systems, by helping better interpret road conditions using shadow and reflection observations.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
shadow-reflection_t_dataset,
title = { Shadow/Reflection_T Dataset },
type = { Open Source Dataset },
author = { Spyne },
howpublished = { \url{ https://universe.roboflow.com/spyne-odwyj/shadow-reflection_t } },
url = { https://universe.roboflow.com/spyne-odwyj/shadow-reflection_t },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { jun },
note = { visited on 2024-11-23 },
}