ĐATN Object Detection Dataset and Pre-Trained Model by deoooo

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Explore Dataset

Here are a few use cases for this project:

E-commerce Fashion Cataloging: Use ĐATN to simplify the process of cataloging fashion items in online retail platforms by automatically identifying and classifying clothes types in uploaded photos. The model can also suggest relevant tags, thus enhancing product discoverability.
Personal Wardrobe Management App: Implement the model in a personal wardrobe app to help users categorize and manage their clothing inventory visually. Users can easily navigate through their collection without manually sorting through it, making outfit selection a much easier process.
Fashion Trend Analysis: Utilize the model in analyzing and forecasting fashion trends. By scanning through various online sources and recognizing clothing types, the model can provide valuable insights on popular clothing categories and evolving trends in the fashion industry.
Augmented Reality Shopping Experience: Implement ĐATN in an AR shopping experience, where users can scan clothing articles to see how they will fit on their virtual avatar. The model can classify the clothes and help match accessories based on the clothing type.
Automated Laundry Sorting System: Develop a system that uses ĐATN to recognize and sort laundry by clothing type. This can be particularly helpful in commercial laundry services or large households, saving time and preventing clothing damage due to inappropriate washing methods.

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{
                            datn-h0dxu_dataset,
                            title = { ĐATN Dataset },
                            type = { Open Source Dataset },
                            author = { deoooo },
                            howpublished = { \url{ https://universe.roboflow.com/deoooo/datn-h0dxu } },
                            url = { https://universe.roboflow.com/deoooo/datn-h0dxu },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { oct },
                            note = { visited on 2024-06-20 },
                            }