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stringclasses
5 values
quality
stringclasses
5 values
category
stringclasses
4 values
brand
stringclasses
4 values
color
stringclasses
5 values
material
stringclasses
2 values
surface_texture
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usage_signs
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5771ae164f38f968727de8e2a44f92d3.jpg
1080*703
Eyebrow Trimmer
MINISO
White and Green
Plastic and Metal
Smooth Surface
Curved Handle
Medium
No Pattern
New
No Signs of Use
73f5a9f41440892fa7eaa7ae423e8f21.jpg
974*1306
Beauty Instrument
Yaman
Gradient of Silver and Brown
Plastic and Metal
Smooth
Columnar
Medium
Concentric Circle Design on Top
New
No Usage Marks
b879d26b6850e2ed6ce9282a476c84a5.jpg
1080*1795
Eyelash Curler
Sanzitang
White
Plastic and Metal
Smooth
Ergonomic Design
Medium
No Obvious Pattern
New
No Signs of Use
d87b50838d650ff69ceeb81ca3c851b3.jpg
1080*1262
Beauty Instrument
YA-MAN
Gold
Metal
Smooth
Cylindrical
Indeterminable
No Distinct Pattern
New
No Usage Marks
db7aa45d5c32ad11e65c11a3ca31e124.jpg
1080*1323
Beauty Auxiliary Tool
Yaman
Black
Plastic and Metal
Smooth
Long Rod Shape
Medium Size, Height Approximately 20-30cm
No Obvious Pattern
New
No Signs of Use

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

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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