Earlobes Computer Vision Project
Here are a few use cases for this project:
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Medical Diagnostics: The "Earlobes" model can be used in the medical field to understand unique ear structures, detecting abnormalities and possible health conditions. For example, identification of cleft earlobe can be a potential indication of cardiovascular disease.
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Personal Identification: In security and law enforcement, the model can aid in personal identification and biometrics by analyzing distinct features such as earlobe shape and structure to ensure a high level of security.
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Virtual Reality & CGI: In animation and virtual reality (CGI), earlobe models could be used to improve image rendering and creation of more realistic characters by providing diverse earlobe types and shapes.
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Hearing Aid Manufacturing: The model can assist in the customization and fitting of hearing aids. It can identify the unique earlobe shape and suggest the best suitable hearing aid model.
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Education: In genetic studies, the "Earlobes" model could be used to look at variations in earlobe types and their relation to genetic traits, serving as a practical tool for illustrating genetic inheritance to students.
Trained Model API
This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
earlobes_dataset,
title = { Earlobes Dataset },
type = { Open Source Dataset },
author = { Aleksandr Dubrovin },
howpublished = { \url{ https://universe.roboflow.com/aleksandr-dubrovin-w9g2k/earlobes } },
url = { https://universe.roboflow.com/aleksandr-dubrovin-w9g2k/earlobes },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { nov },
note = { visited on 2024-03-28 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the Earlobes project in your project.