swearshirt Computer Vision Project

Sunwoo Kang

Updated 2 years ago

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Description

Here are a few use cases for this project:

  1. E-commerce Clothing Classification: The "swearshirt" model can be used by online retail platforms to automatically identify and categorize sweatshirts from other types of clothing, improving product organization and customer search experiences.

  2. Inventory Management: Retail stores can utilize the "swearshirt" model to better manage their inventory. For instance, the model can process incoming shipment images, helping staff to sort, track, and restock sweatshirt items more efficiently.

  3. Intelligent Recommender System: Online retailers can leverage the capabilities of the "swearshirt" model to develop intelligent recommender systems that suggest similar or complementary sweatshirt items to customers based on their browsing and purchase history.

  4. Fashion Trend Analysis: Research and analytics firms can use the "swearshirt" model to analyze social media images and identify trending sweatshirt styles, colors, and designs. This can help fashion brands keep up with market demands and preferences.

  5. Visual AI Assistants: The "swearshirt" model can be integrated into virtual assistants, like Google Assistant or Amazon Alexa, to provide personalized fashion advice based on a user's wardrobe, as well as recommend sweatshirt items that would complement their existing style preferences.

Supervision

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Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            swearshirt_dataset,
                            title = { swearshirt Dataset },
                            type = { Open Source Dataset },
                            author = { Sunwoo Kang },
                            howpublished = { \url{ https://universe.roboflow.com/sunwoo-kang/swearshirt } },
                            url = { https://universe.roboflow.com/sunwoo-kang/swearshirt },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jul },
                            note = { visited on 2024-11-05 },
                            }
                        
                    

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