YoloV5 Computer Vision Project
Here are a few use cases for this project:
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Home Automation Systems: Using the YoloV5 model, an automated system could identify lamps and lights within a home, turning them on/off or adjusting the brightness based on user preferences or ambient light conditions.
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Retail Inventory Management: Stores selling lighting fixtures could use the model to identify inventory on the shelves, aiding in stocktaking and reordering processes.
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Intelligent Emergency Response Systems: The model could be used in emergency situations to help drones or other automated systems navigate indoor environments and recognize lamp locations, helping to illuminate dark areas when necessary.
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Interior Design Applications: Apps catering to home staging or interior design could use YoloV5 to identify and map out the placement of existing lamps, facilitating light management and design planning.
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Surveillance Systems: This model can aid in improving the quality and effectiveness of surveillance systems by identifying lamps or light sources in a scene and subsequently enhancing visibility or attention towards certain areas.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
yolov5-2kxvj_dataset,
title = { YoloV5 Dataset },
type = { Open Source Dataset },
author = { new-workspace-xmxcj },
howpublished = { \url{ https://universe.roboflow.com/new-workspace-xmxcj/yolov5-2kxvj } },
url = { https://universe.roboflow.com/new-workspace-xmxcj/yolov5-2kxvj },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { mar },
note = { visited on 2024-06-26 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the YoloV5 project in your project.
Source
Last Updated
2 years ago
Project Type
Object Detection
Subject
Yolo
Views: 158
Downloads: 8
