Refrigerator Door Type Classification Dataset
#classification #object detection #product classification #image recognition #e-commerce #inventory management
- 5000 records
- 1.2G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
The retail e-commerce industry is rapidly evolving, with a growing demand for efficient product classification. However, current solutions face challenges in accurately categorizing refrigerator types due to the diversity of designs. This dataset aims to address the technical challenges in automated classification of refrigerator door types, enabling better inventory management and customer experience. The dataset consists of images collected from various e-commerce platforms, with an emphasis on quality and diversity. Each image is annotated with the corresponding door type. Quality control measures include multiple rounds of annotation and expert reviews to ensure high accuracy. The data is stored in JPG format, organized in directories based on door type for easy access and processing. The dataset is designed to enhance machine learning models by providing a robust foundation for training.
Dataset Insights
Sample Examples
089898ed**.jpg|1060*1885|90.19 KB
d675027c**.jpg|1224*1632|105.89 KB
ef992f2d**.jpg|4224*1952|5.16 MB
ecab1934**.jpg|1224*1632|196.02 KB
03263750**.jpg|961*2080|135.77 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| door_type | string | The type of the refrigerator door, for example: single door, double door, side-by-side door, French four-door, etc. |
| color | string | The color of the refrigerator, for example: white, silver, black, etc. |
| handle_type | string | The type of refrigerator handle, for example: external handle, hidden handle, embedded handle, etc. |
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 |
Frequently Asked Questions
- What is the refrigerator door type classification dataset?
- The refrigerator door type classification dataset is an image classification dataset used to identify different types of refrigerator doors, aimed at enhancing product recognition on e-commerce platforms.
- What are the application scenarios of the refrigerator door type classification dataset?
- The refrigerator door type classification dataset is primarily used on e-commerce platforms for automatically identifying and categorizing different types of refrigerator doors, thereby improving user shopping experiences and search accuracy.
- What types of images are included in the refrigerator door type classification dataset?
- The refrigerator door type classification dataset includes images of various types of refrigerator doors, such as single-door, double-door, multi-door, and French door.
- How to use the refrigerator door type classification dataset for product recognition?
- Deep learning algorithms can be used to train models to recognize and classify refrigerator door types, achieving automated product recognition and management.
- Why is the refrigerator door type classification dataset important for the retail industry?
- The refrigerator door type classification dataset can effectively enhance product retrieval efficiency on e-commerce platforms, reduce the cost of manual labeling, and improve the user shopping experience.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Refrigerator Door Type Classification Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/14c039de4c265db0980c3ad7d3028e4c},
urldate={2025-08-28},
keywords={refrigerator classification dataset,door type recognition,e-commerce image dataset,machine learning refrigerator},
version={1.0}
}Using this in research? Please cite us.
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