Microwave and Oven Discrimination Dataset
#Image Classification #Object Detection #Product Classification #Visual Recognition #Quality Control
- 5000 records
- 1.5G
- 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 experiencing rapid growth, yet it faces challenges in accurately classifying kitchen appliances like microwaves and ovens, which can lead to customer dissatisfaction. Existing solutions often struggle with misclassification due to similar designs and features. This dataset aims to address the need for a reliable classification system for countertop microwaves, built-in microwaves, and combination ovens to enhance product recognition and improve user experience. The dataset comprises high-quality images collected from diverse sources, including online retail platforms and manufacturer websites. Each image undergoes a multi-stage annotation process, including multiple rounds of labeling, consistency checks, and expert reviews to ensure high accuracy. The images are stored in JPEG format and organized into labeled folders for efficient access.
Dataset Insights
Sample Examples
9577b53e**.jpg|1716*1080|108.91 KB
f85293a5**.jpg|1414*1414|268.59 KB
20a51b02**.jpg|1224*1632|122.82 KB
b8de9d11**.jpg|1224*1632|126.75 KB
c07dd058**.jpg|1632*1224|116.80 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| appliance_type | string | Determine whether the device in the image is a countertop microwave, built-in microwave, or combo oven |
| control_panel_type | string | Identify whether the device's control panel is mechanical, touch, or knob type |
| display_type | string | Identify whether there is a display on the device. If so, determine if it is an LCD or LED display. |
| knob_or_button_detail | string | Describe the layout and functions of the knobs or buttons on the device. |
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 dataset for Microwave Oven and Oven Classification?
- The dataset for Microwave Oven and Oven Classification is an image classification dataset used to differentiate between countertop microwave ovens, built-in microwave ovens, and composite ovens.
- In which fields can the Microwave Oven and Oven Classification dataset be applied?
- The Microwave Oven and Oven Classification dataset is mainly applied in the retail industry for product classification and management.
- What data modality does this dataset support?
- This dataset supports image data modality.
- What problem can be solved using the Microwave Oven and Oven Classification dataset?
- The dataset can effectively distinguish and classify different types of microwave ovens and ovens, improving the efficiency of inventory management and sales analysis.
- How to use the Microwave Oven and Oven Classification dataset for image classification?
- You can train machine learning or deep learning models using the images in this dataset to classify microwave ovens and ovens.
- What is the primary goal of the Microwave Oven and Oven Classification dataset?
- The primary goal of this dataset is to accurately differentiate and identify countertop microwave ovens, built-in microwave ovens, and composite ovens.
- How does the Microwave Oven and Oven Classification dataset benefit the retail industry?
- The retail industry can use this dataset for product recognition, improving automated classification and inventory management capabilities, thereby enhancing operational efficiency.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Microwave and Oven Discrimination Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/36c362c02258377f348ccc22a774e1dc?dataset_scene_id=9},
urldate={2025-08-28},
keywords={Microwave Dataset,Oven Classification,Retail E-commerce Dataset,Image Recognition Dataset},
version={1.0}
}Using this in research? Please cite us.
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