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Mobiusi/Eyebrow-Makeup-Product-Image-Classification-Dataset

Eyebrow Makeup Product Image Classification Dataset The current retail e-commerce industry faces the challenge of a wide variety of products and diverse customer needs, especially in the recognition and classification of eyebrow makeup products. Traditional manual annotation methods are inefficient and prone to errors. Existing solutions often fail to meet the requirements for high precision and efficiency, thus there is an urgent need for a high-quality image classification… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Eyebrow-Makeup-Product-Image-Classification-Dataset.

sourceHugging Facecc-by-nc-sa-4.0updated 7mo agoView on Hugging Face
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Eyebrow Makeup Product Image Classification Dataset

The current retail e-commerce industry faces the challenge of a wide variety of products and diverse customer needs, especially in the recognition and classification of eyebrow makeup products. Traditional manual annotation methods are inefficient and prone to errors. Existing solutions often fail to meet the requirements for high precision and efficiency, thus there is an urgent need for a high-quality image classification dataset to support the development of automated recognition technologies. This dataset aims to provide a large number of eyebrow makeup product images to assist in training and optimizing image recognition models, thereby enhancing the user shopping experience. Data collection was carried out using professional photographic equipment, shot under natural and standard lighting conditions to ensure image clarity and color accuracy. To ensure data quality, we implemented multiple rounds of annotation and consistency checks, with expert review to ensure annotation accuracy. Data is stored in JPEG format, with structured storage for quick retrieval and analysis.

Technical Specifications

FieldTypeDescription
file_namestringFile name
qualitystringResolution
product_typestringIdentifies the specific type of eyebrow makeup product, such as eyebrow pencil or eyebrow powder.
color_variationstringIdentifies the color variation of the product, such as black or brown.
brand_namestringIdentifies the brand name of the product.
product_packagingstringIdentifies the packaging form of the product, such as boxed or single stick.

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