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Mobiusi/Beauty-Aid-Tools-Image-Classification-Dataset

Beauty Aid Tools Image Classification Dataset With the rapid development of the retail e-commerce industry, the market demand for beauty aid tools is continuously increasing. However, current image classification technologies face many challenges, such as diverse product forms and complex usage scenarios, leading to low accuracy and efficiency in product recognition. Existing solutions often rely on manual labeling, which involves a large amount of work and is difficult to… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Beauty-Aid-Tools-Image-Classification-Dataset.

sourceHugging Facecc-by-nc-sa-4.0updated 7mo agoView on Hugging Face

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Dataset Card

Beauty Aid Tools Image Classification Dataset

With the rapid development of the retail e-commerce industry, the market demand for beauty aid tools is continuously increasing. However, current image classification technologies face many challenges, such as diverse product forms and complex usage scenarios, leading to low accuracy and efficiency in product recognition. Existing solutions often rely on manual labeling, which involves a large amount of work and is difficult to maintain. Therefore, there is an urgent need for a high-quality image classification dataset to improve recognition accuracy and enhance automated processing capabilities. This dataset includes images of various beauty tools, aiming to address the issue of insufficient classification accuracy. Data collection is conducted using professional photography equipment in a standardized lighting environment to ensure image clarity and consistency. In terms of quality control, multiple rounds of labeling and expert review mechanisms are adopted to ensure the accuracy and consistency of data labeling. Data is stored in JPG format, organized by category folders for easy subsequent use and retrieval.

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
category	string	The category of the beauty accessory tool, such as brush, clip, etc.
brand	string	The brand name of the beauty accessory tool.
color	string	The primary color of the beauty accessory tool.
material	string	The main material used for the beauty accessory tool.
surface_texture	string	The texture characteristics of the surface of the beauty accessory tool.
shape	string	The shape or appearance of the beauty accessory tool.
size	string	The dimensions of the beauty accessory tool, such as length, width, and height.
pattern	string	The pattern or design on the beauty accessory tool.
condition	string	The physical condition of the beauty accessory tool, such as new or old.
usage_signs	string	Whether there are signs of use on the beauty accessory tool.

Compliance Statement

<table> <tr> <td>Authorization Type</td> <td>CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)</td> </tr> <tr> <td>Commercial Use</td> <td>Requires exclusive subscription or authorization contract (monthly or per-invocation charging)</td> </tr> <tr> <td>Privacy and Anonymization</td> <td>No PII, no real company names, simulated scenarios follow industry standards</td> </tr> <tr> <td>Compliance System</td> <td>Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs</td> </tr> </table>

Source & Contact

If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com