Beauty Aid Tools Image Classification Dataset
#image classification #object detection #image recognition #product classification #intelligent recommendation
- Records
- 5000 records
- Size
- 1.2G
- Format
- JPG/PNG/JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
AI Analysis & Value Prop
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.
Overview
Dataset Insights
Preview
Sample Examples
b879d26b**.jpg|1080*1795|729.76 KB
5771ae16**.jpg|1080*703|455.18 KB
db7aa45d**.jpg|1080*1323|824.30 KB
d87b5083**.jpg|1080*1262|647.00 KB
73f5a9f4**.jpg|974*1306|375.00 KB
Schema
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. |
Trust
Compliance Statement
Authorization Type
Proprietary - Commercial AI Training License (No Redistribution)
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
FAQ
Frequently Asked Questions
- What is the beauty aid tool image classification dataset?
- The beauty aid tool image classification dataset is a dataset used to enhance the application of image classification technology in retail e-commerce, containing images of various beauty aid tools.
- What application scenarios is this dataset suitable for?
- This dataset is suitable for application scenarios such as product classification, image recognition, and related recommendation systems in retail e-commerce.
- What is the industry background of the beauty aid tool image classification dataset?
- The dataset's industry background is the retail industry, specifically the image classification and analysis needs related to beauty tool products on e-commerce platforms.
- What is the main purpose of using this dataset?
- The main purpose of using this dataset is to improve the accuracy of image classification technology in beauty product recognition and enhance the performance and commercial application value of related visual algorithms.
- How can this dataset be used to enhance the user experience of retail e-commerce platforms?
- By optimizing image classification algorithms, this dataset can help retail e-commerce platforms achieve more accurate product display, search functions, and personalized recommendations, thereby enhancing the user experience.
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Cite this Work
@dataset{Mobiusi2025,
title={Beauty Aid Tools Image Classification Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/5babb784cdde950b3142be13a7232fdc?cate=2},
urldate={2025-09-15},
keywords={beauty tools image dataset, image classification dataset, retail e-commerce image recognition},
version={1.0}
}Using this in research? Please cite us.
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