Puff Image Classification Dataset
#classification task #image recognition #beauty product recognition #e-commerce platform recommendation #image search
- 5000 records
- 1.2G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-04-14
AI Analysis & Value Prop
The current retail e-commerce industry faces problems of a wide variety of products and difficulty in user choice, especially in the beauty field where consumers often struggle to find suitable products. Existing image classification methods often cannot effectively handle complex image features, resulting in low classification accuracy. This dataset aims to provide high-quality images of puffs and beauty blenders to help improve the performance of image classification models. The dataset contains 5000 high-resolution images, captured using professional photography equipment under good lighting conditions to ensure clarity and usability. In terms of quality control, the data has undergone multiple rounds of annotation and expert review to ensure consistency and accuracy of the annotations. The data is stored in JPG format for quick access and processing.
Dataset Insights
Sample Examples
27650799**.jpg|1080*1319|636.39 KB
b055b66b**.jpg|1080*1440|940.20 KB
59106843**.jpg|1080*1312|566.65 KB
3a1c3f7e**.jpg|1080*1314|684.87 KB
91ba1440**.jpg|1080*1310|600.88 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| image_category | string | The category to which the puff image belongs, used to identify and organize different types of puffs. |
| primary_color | string | The main color of the puff image, used for analyzing the visual effects of the product. |
| texture_pattern | string | The texture or pattern characteristics visible on the surface of the puff. |
| material_type | string | The material characteristics of the puff, which can be identified from the image, such as cotton or sponge. |
| brand_logo_presence | boolean | Indicates whether a brand logo is present in the image, used for brand recognition and market analysis. |
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 |
Frequently Asked Questions
- What types of images are included in the powder puff image classification dataset?
- The dataset primarily includes images of beauty products, specifically powder puffs.
- What are the potential applications of the powder puff image classification dataset?
- This dataset can be used in e-commerce platforms for product recommendation systems to improve recommendation accuracy.
- How can this dataset improve the effectiveness of e-commerce product recommendation systems?
- By accurately classifying and identifying beauty products, the dataset enhances the personalization and precision of recommendation systems.
- What are the characteristics of the powder puff image classification dataset?
- The dataset features high-quality images and rich classification labels, making it suitable for image classification tasks.
- Why choose the powder puff image classification dataset for the retail industry?
- Because it focuses on the beauty sector, enhancing the online display and recommendation of related products.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Puff Image Classification Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/8273b8047d7f53ea0bc0ed2bc7709658?dataset_scene_id=9},
urldate={2025-09-15},
keywords={puff image dataset, beauty blender classification dataset, image classification dataset},
version={1.0}
}Using this in research? Please cite us.
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