cosmetics detection Computer Vision Project

test

Updated 2 years ago

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Classes (23)
DW持妆粉底液
典藏香水’
冻龄白金眼霜
冻龄白金眼霜’
冻龄白金面霜
原生液
小棕瓶yan'shuang
小棕瓶眼霜
小棕瓶精华
小棕瓶面膜
樱花水
樱花水’
沁水zhuang qian ru
沁水光透妆前乳
沁水妆前乳ge'li'shuang
沁水粉底液
白金气垫
白金气垫‘
白金粉底液
百褶小金管
胶原乳
胶原霜
黑松露yan'shaung

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Description

Here are a few use cases for this project:

  1. E-commerce Platforms: This computer vision model can be used in online shopping platforms to automatically tag and categorize uploaded cosmetic products, enhancing product search and discovery for customers.

  2. Consumer Insight Analysis: Companies can use this model to identify consumers' favorite cosmetics in social media posts or videos, aiding market research and product development strategies.

  3. Personalized Cosmetic Recommendations: In beauty apps, this model can be used to recognize the cosmetics currently used by a customer, and based on this data, provide personalized product recommendations or reviews.

  4. Product Authentication: Could be used by companies or customers to verify the authenticity of a product, helping to detect counterfeit cosmetics goods.

  5. Recycling Initiatives: It can assist in sorting cosmetic packaging material during recycling processes by identifying the type of product and therefore the likely packaging materials.

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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{
                            cosmetics-detection_dataset,
                            title = { cosmetics detection Dataset },
                            type = { Open Source Dataset },
                            author = { test },
                            howpublished = { \url{ https://universe.roboflow.com/test-yls6k/cosmetics-detection } },
                            url = { https://universe.roboflow.com/test-yls6k/cosmetics-detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-09-26 },
                            }
                        
                    

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