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file_name
stringclasses
5 values
quality
stringclasses
5 values
product_type
stringclasses
1 value
color_variation
stringclasses
4 values
brand_name
stringclasses
5 values
product_packaging
stringclasses
2 values
07ef50f421ccb63fe5a550b77f153936.png
1012*1280
Eyebrow Pencil
Black
SWEET MINT
Dual-Headed
983865e004e88dafbc8a379a528a7671.png
979*1280
Eyebrow Pencil
Brown
Unidentifiable Brand Name
Single
a435d0b5a08f2fd3c9d45d00d4512dfb.png
931*1280
Eyebrow Pencil
Unknown
ROZO
Single
e6d0c84727c3eb0dc1e66869579ea835.png
1034*1280
Eyebrow Pencil
Black, Brown
Unknown
Single
fbbaa0bc188f357bbb860b9af934111b.png
955*1280
Eyebrow Pencil
Brown
Innisfree
Single

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

Field Type Description
file_name string File name
quality string Resolution
product_type string Identifies the specific type of eyebrow makeup product, such as eyebrow pencil or eyebrow powder.
color_variation string Identifies the color variation of the product, such as black or brown.
brand_name string Identifies the brand name of the product.
product_packaging string Identifies the packaging form of the product, such as boxed or single stick.

Compliance Statement

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

Source & Contact

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

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