Tunç Başkan Computer Vision Project
Here are a few use cases for this project:
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E-commerce Platforms: The "Tunç Başkan" model can be used to automatically categorize and tag uploads on e-commerce platforms selling clothes. This would streamline the product listing process, making search and discovery easier for users.
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Virtual Closet Organizer: The model can be important in building an app that helps users organize their wardrobe, grouping clothes by type and suggesting outfit combinations.
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Lost & Found Application: The model can be implemented in a lost-and-found application in airports, shopping malls, and other public places. It can identify clothing items, helping users find and match their lost belongings.
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Fashion Trend Analysis: By integrating the model into a social media analytics tool, companies can detect emerging fashion trends, informing design and production decisions ahead of time.
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Automated Laundry Sorting: Integrated with home automation systems, the "Tunç Başkan" model could assist in automatically sorting clothes for washing based on their type, potentially optimizing the laundry process and avoiding damages caused by washing incompatible clothing types together.
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{
tunc-baskan_dataset,
title = { Tunç Başkan Dataset },
type = { Open Source Dataset },
author = { ibb },
howpublished = { \url{ https://universe.roboflow.com/ibb-djsrv/tunc-baskan } },
url = { https://universe.roboflow.com/ibb-djsrv/tunc-baskan },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { aug },
note = { visited on 2024-05-07 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the Tunç Başkan project in your project.
