Fan Appearance Classification Dataset
#Image Classification #Object Detection #Product Classification #Visual Recognition #E-commerce Optimization
- 5000 records
- 1.5G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
In the current retail e-commerce industry, the classification of products, especially appliances like fans, remains a challenge due to the variety of designs and types available. Existing solutions often fall short in accurately categorizing these products, leading to inefficiencies in inventory management and customer search experiences. This dataset is designed to address the specific challenge of distinguishing between various types of fans—table fans, pedestal fans, and bladeless fans—by providing a comprehensive collection of labeled images. The dataset was collected using high-resolution cameras in a controlled lighting environment to ensure image clarity and quality. Rigorous quality control measures, including multi-round annotations, consistency checks, and expert reviews, were implemented to maintain high accuracy. The data is stored in JPG format, organized by categories for easy access and utilization in machine learning applications.
Dataset Insights
Sample Examples
697a2219**.jpg|1079*1409|73.75 KB
7211456c**.jpg|1536*2048|235.20 KB
1521900c**.jpg|2048*1536|441.22 KB
e987e4de**.jpg|1536*2048|539.42 KB
fb8cfe85**.jpg|2048*1536|667.84 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| fan_type | string | Type of fan as identified by appearance or structure, such as desktop fan, standing fan, ceiling fan, etc. |
| color | string | The primary color of the fan, which can be monochrome or multicolor. |
| material | string | The main material of the fan, such as metal, plastic, composite materials, etc. |
| brand | string | Brand information of the fan, identifiable through a trademark. |
| blade_count | integer | The number of blades on the fan |
| control_mode | string | The method of controlling the fan, such as button-operated, remote-controlled, or smart voice control |
| design_style | string | The design style of the fan's appearance, such as modern, vintage, or minimalist |
| logo_present | boolean | Whether a brand logo is visible on the fan |
| oscillation_feature | boolean | Whether the fan has an oscillation feature |
| power_rating | string | The power rating of the fan, which can be identified from the nameplate or label |
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 Electric Fan Appearance Classification Dataset?
- The Electric Fan Appearance Classification Dataset is an image classification dataset focused on classifying the appearance of electric fans, designed to support intelligent recommendation and visual recognition technologies.
- What are the uses of the Electric Fan Appearance Classification Dataset?
- This dataset can be used to train machine learning models to recognize and classify different types of electric fan appearances, thereby improving the accuracy of intelligent recommendation systems and visual recognition.
- What is the image quality like in the Electric Fan Appearance Classification Dataset?
- The images in the Electric Fan Appearance Classification Dataset typically have high clarity and resolution to ensure that machine learning models can accurately recognize image details.
- What are the advantages of using the Electric Fan Appearance Classification Dataset?
- Using this dataset allows for the rapid construction and optimization of visual recognition systems, significantly enhancing the accuracy and efficiency of recognizing electric fan appearances, which is particularly useful in the retail industry.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Fan Appearance Classification Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/24f023d152f03bdde9a80b1565812d59?dataset_scene_id=9},
urldate={2025-08-28},
keywords={Fan Classification Dataset,E-commerce Product Recognition,Image Dataset for Retail},
version={1.0}
}Using this in research? Please cite us.
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