Datasets:
file_name 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 stringclasses 2 values | shape stringclasses 5 values | size stringclasses 3 values | pattern stringclasses 4 values | condition stringclasses 1 value | usage_signs stringclasses 2 values |
|---|---|---|---|---|---|---|---|---|---|---|---|
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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