Foundation Liquid Product Image Classification Dataset
#Image Classification #Deep Learning Training #Feature Extraction #Product Classification #Market Analysis #E-commerce Recommendation
- Records
- 5000 records
- Size
- 1.2G
- Format
- JPG/PNG/JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-05
AI Analysis & Value Prop
The current retail e-commerce industry faces challenges in product image recognition and classification, especially against a backdrop of rapid updates of diverse products and changing consumer demands, where traditional methods fall short in meeting accurate classification needs. Existing solutions often rely on manual annotation, resulting in inefficiency and inadequacy in annotation accuracy. This dataset aims to address the inconsistencies in image classification annotation and insufficient data volume by providing high-quality foundation liquid product images, fulfilling the needs of e-commerce platforms for product classification and recommendation systems. Data collection involves web crawling to obtain foundation liquid product images from major e-commerce platforms, ensuring data diversity and authenticity. A multi-round review and consistency check during the annotation process ensures accuracy and consistency, with a final review by an expert team to guarantee high-quality data. The data is stored in JPG format and organized by category for ease of subsequent training and application.
Overview
Dataset Insights
Preview
Sample Examples
23ab524d**.png|1017*1280|1.03 MB
0d7da211**.png|1280*952|1.19 MB
51079860**.png|909*1280|957.23 KB
5a8ea68a**.png|1013*1280|693.47 KB
2a196841**.png|958*1280|626.42 KB
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| product_brand | string | The brand name of the foundation. |
| product_color | string | The shade or color description of the foundation. |
| product_shape | string | The description of the bottle shape of the foundation. |
| label_text | string | Text information on the label of the bottle. |
| background_type | string | The type of background in the image, such as solid color or decorative background. |
| lighting_condition | string | The lighting condition during the photograph of the foundation image. |
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 foundation product image classification dataset?
- The foundation product image classification dataset is a dataset focused on image classification of foundation products, aiming to support precise classification and recommendation through diverse product images.
- In which fields can the foundation product image classification dataset be applied?
- This dataset is mainly applied in the retail sector, particularly in product recommendation and advertising in e-commerce platforms.
- What are the benefits of using the foundation product image classification dataset?
- Using this dataset can increase the visibility and sales of foundation products on e-commerce websites while improving the shopping experience for users.
- What data modalities does the foundation product image classification dataset include?
- This dataset includes image modalities, specifically for handling image classification tasks of foundation products.
- How does the foundation product image classification dataset help improve product recommendation systems?
- By providing accurate classification of foundation images, this dataset can optimize product recommendation algorithms, enhancing the accuracy and relevance of recommendations.
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Cite this Work
@dataset{Mobiusi2025,
title={Foundation Liquid Product Image Classification Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/c016a847453bff60351ad5e5aff267b5?dataset_scene_id=9},
urldate={2025-09-15},
keywords={foundation liquid image dataset, e-commerce product classification, image recognition dataset, deep learning image classification},
version={1.0}
}Using this in research? Please cite us.
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