Datasets:
Tasks:
Image Classification
Modalities:
Text
Languages:
English
Size:
< 1K
Tags:
image classification
object detection
image recognition
product classification
intelligent recommendation
License:
Commit ·
1adcb5b
verified ·
0
Parent(s):
initial commit
Browse files- .gitattributes +60 -0
- README.md +62 -0
.gitattributes
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# Audio files - uncompressed
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README.md
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---
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tags:
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- image classification
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- object detection
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- image recognition
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- product classification
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- intelligent recommendation
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license: cc-by-nc-sa-4.0
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task_categories:
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- image-classification
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language:
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- en
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pretty_name: Beauty Aid Tools Image Classification Dataset
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size_categories:
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- 1B<n<10B
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---
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# Beauty Aid Tools Image Classification Dataset
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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.
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## Technical Specifications
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| Field | Type | Description |
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| :--- | :--- | :--- |
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| file_name | string | File name |
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| quality | string | Resolution |
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| category | string | The category of the beauty accessory tool, such as brush, clip, etc. |
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| brand | string | The brand name of the beauty accessory tool. |
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| color | string | The primary color of the beauty accessory tool. |
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| material | string | The main material used for the beauty accessory tool. |
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| surface_texture | string | The texture characteristics of the surface of the beauty accessory tool. |
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| shape | string | The shape or appearance of the beauty accessory tool. |
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| size | string | The dimensions of the beauty accessory tool, such as length, width, and height. |
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| pattern | string | The pattern or design on the beauty accessory tool. |
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| condition | string | The physical condition of the beauty accessory tool, such as new or old. |
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| usage_signs | string | Whether there are signs of use on the beauty accessory tool. |
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## Compliance Statement
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<table>
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<tr>
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<td>Authorization Type</td>
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<td>CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)</td>
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</tr>
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<tr>
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<td>Commercial Use</td>
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<td>Requires exclusive subscription or authorization contract (monthly or per-invocation charging)</td>
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</tr>
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<tr>
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<td>Privacy and Anonymization</td>
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<td>No PII, no real company names, simulated scenarios follow industry standards</td>
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</tr>
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<tr>
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<td>Compliance System</td>
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<td>Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs</td>
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</tr>
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</table>
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## Source & Contact
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If you need more dataset details, please visit [Mobiusi](https://www.mobiusi.com/datasets/5babb784cdde950b3142be13a7232fdc?utm_source=huggingface&utm_medium=referral). or contact us via contact@mobiusi.com
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