multiclass-yolov5 Computer Vision Project
Updated 3 years ago
Here are a few use cases for this project:
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Intelligent Surveillance Systems: The model can be used in surveillance systems where it can identify faces, number plates, and flags. This can be particularly useful in security sensitive areas like government buildings, airports, or private businesses that need to monitor their environments closely.
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Automated Accessibility Assessment: Use the model to identify wheelchairs to assess the accessibility of public and private spaces. This can provide valuable information for city planning or building design to improve accessibility.
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Document Verification Systems: The model could be used in automated document verification systems where it can identify and extract data from passports and cards. This can be particularly beneficial in immigration services, banks, or any other industries that need to verify identity documents.
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Traffic Monitoring and Control: Use the model in a traffic control system to identify vehicle number plates from traffic camera feeds. This can be used to automate tasks like traffic rule violation detection or automated toll collection.
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Augmented Reality (AR) Applications: Use the model to identify objects and then provide additional information or interactivity based on the identified object. For example, scanning a passport could provide travel tips, scanning a face could provide social media links, etc.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
multiclass-yolov5_dataset,
title = { multiclass-yolov5 Dataset },
type = { Open Source Dataset },
author = { Workspace2 },
howpublished = { \url{ https://universe.roboflow.com/workspace2-p6ecv/multiclass-yolov5 } },
url = { https://universe.roboflow.com/workspace2-p6ecv/multiclass-yolov5 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2021 },
month = { dec },
note = { visited on 2024-11-21 },
}