Dresser Computer Vision Project
Here are a few use cases for this project:
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Fashion Retail Assist: This computer vision model can enable fashion retailers to analyze people's clothing in real time to identify trends and customer preferences, aiding in tailoring their stock and marketing strategies.
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Automated Personal Stylist: Integrated into a mobile app, "Dresser" could analyze individual's existing wardrobe items and suggest outfit combinations, stepping in as a personal stylist.
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Public Safety Applications: The model can be used by security or law enforcement agencies to detect and identify individuals based on their clothing or accessories, assisting in cases such as missing persons or criminal investigation.
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Fashion Education: It can be used in fashion education and training to help students learn about different clothing types, fashion trends, and style identification.
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Social Media Marketing: Marketing teams can use the model to analyze clothing trends and preferences from social media platforms to create more targeted advertising campaigns.
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{
dresser_dataset,
title = { Dresser Dataset },
type = { Open Source Dataset },
author = { Dresser },
howpublished = { \url{ https://universe.roboflow.com/dresser/dresser } },
url = { https://universe.roboflow.com/dresser/dresser },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { may },
note = { visited on 2024-06-01 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the Dresser project in your project.
