Cleaning Equipment Appearance Image Classification Dataset
#image classification #computer vision #machine learning #smart cleaning equipment #industrial automation #equipment appearance detection
- 500 records
- 1.4G
- JPG
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
In the smart device industry, automatic recognition and detection of equipment appearance are crucial for improving production efficiency and reducing labor costs. However, traditional recognition methods face challenges such as low accuracy and poor environmental adaptability, and existing solutions lack diversity and generalization capabilities. This dataset aims to solve the problem of automated recognition of cleaning equipment appearances, fulfilling the needs of smart manufacturing and equipment maintenance. The dataset is collected using high-resolution camera equipment in a standardized factory environment. Quality control includes multiple rounds of manual annotation and consistency checks, conducted by a professional team with backgrounds in computer vision and image processing. Data preprocessing involves image denoising, size standardization, and enhancement processing. All data is stored in layered JPG format for quick access and processing.
Dataset Insights
Sample Examples
b5281ae8**.jpg|3024*4032|644.15 KB
454f8003**.jpg|3000*4000|420.01 KB
2fffbf96**.jpg|3024*4032|592.00 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| cleaning_device_type | string | Category of the cleaning device, such as vacuum cleaner, robotic sweeper, etc. |
| device_brand | string | The brand name of the cleaning device. |
| device_model | string | The specific model number of the cleaning device. |
| color | string | The main color of the cleaning device's appearance. |
| device_condition | string | The appearance condition of the cleaning device, such as new, used, or damaged. |
| image_background | string | Information about the background of the image, such as indoor, outdoor, or white background. |
| image_quality | string | Evaluation of the image's clarity or quality, such as high, medium, or low. |
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 applications is this dataset mainly suitable for?
- This dataset is mainly suitable for image recognition and classification tasks in smart devices, especially for appearance detection and classification of cleaning equipment.
- How can this dataset be used to train an image classification model?
- You can use this dataset to train various deep learning models, such as Convolutional Neural Networks (CNNs), to improve the classification accuracy of cleaning equipment images.
- What are the unique features of this dataset?
- The dataset focuses on images of cleaning equipment appearance, featuring diversity and high-quality resolution, which help enhance the performance of classification models.
- Are there recommended preprocessing steps to improve model performance?
- It is recommended to perform normalization, resize images, and apply data augmentation such as rotation, scaling, and cropping to improve the model's generalization ability.
- Does this dataset include annotation information?
- Yes, this dataset includes annotated information on the appearance categories of cleaning equipment, facilitating the training of supervised learning algorithms.
Can't find the data you need?
Post a request and let data providers reach out to you.
Get this Dataset
Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Cleaning Equipment Appearance Image Classification Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/ed19cbe44f5e032a107435066648641f},
urldate={2026-02-04},
keywords={cleaning equipment image dataset, equipment appearance classification, smart device recognition},
version={1.0}
}Using this in research? Please cite us.
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder