Washing Machine Drain Pipe Blockage Visual Detection Dataset
#Object Detection #Image Classification #Industrial Inspection #Quality Control #Maintenance
- 5000 records
- 1.5G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-04-13
AI Analysis & Value Prop
The current industrial sector faces significant challenges in diagnosing and maintaining washing machine drainage systems, with many operators relying on manual inspections that are time-consuming and prone to errors. Existing solutions often fail to accurately detect various types of blockages and their severity, leading to inefficiencies and increased maintenance costs. This dataset aims to provide a comprehensive resource for training models that can automatically identify foreign objects or deformation in drainage pipes, thereby enhancing maintenance protocols. The data collection process involved capturing images of various blockage scenarios using high-resolution cameras in controlled environments, ensuring a wide range of conditions are represented. Quality control measures included multiple rounds of annotation by experts, consistency checks to validate labeling accuracy, and expert reviews to ensure high-quality data. The images are stored in JPG format and organized systematically by unique identifiers, ensuring easy retrieval and processing.
Dataset Insights
Sample Examples
a6e66864**.png|1029*1500|1.20 MB
d1981142**.png|1632*1500|1.16 MB
68596fc4**.png|1107*1500|1.29 MB
2aa4320e**.png|1160*1500|1.20 MB
afdab235**.png|1160*1500|837.46 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| clog_status | string | Indicates whether there is any blockage in the object being detected, such as no blockage, mild blockage, or severe blockage. |
| clog_type | string | Identifies the type of blockage, such as hair, tissue, or hard objects. |
| location_of_clog | string | The location of the blockage in the image, such as the entrance of a drain or the middle section of a pipe. |
| clog_size | string | The size of the blockage (can be measured relatively, such as small, medium, or large). |
| pipe_material | string | Identified pipe materials in the image, such as PVC, stainless steel, etc. |
| damage_status | string | Whether the pipe itself has any damage, such as undamaged, electrochemical corrosion, wear, etc. |
| corrosion_level | string | The level of corrosion on the pipe, such as mild corrosion, moderate corrosion, severe corrosion. |
| cleanliness_level | string | The cleanliness level of the inner wall of the pipe, such as clean, partial dirt, covered with dirt. |
| water_flow_status | string | The condition of water flow smoothness, such as smooth, blocked, slow flow. |
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 |
Frequently Asked Questions
- What applications is this dataset suitable for?
- This dataset is suitable for detecting blockages in washing machine drainage pipes, mainly applied in household appliance repair, after-sales service, and manufacturing quality inspection.
- What is the quality of the images in the dataset?
- The images in the dataset are high-resolution, ensuring accurate object detection results, and aiding in analyzing specific blockage conditions of the drainage pipes.
- How can this dataset be utilized in industrial applications?
- In industrial applications, this dataset can be used to develop automated detection systems, improving the maintenance efficiency and accuracy of washing machines.
- What annotations are included in the dataset?
- The dataset includes annotations of potential blockage objects and areas in the drainage pipes, used for training object detection models.
- What are the main benefits of using this dataset?
- The main benefits of using this dataset are the significant reduction in troubleshooting time and improved accuracy of fault detection.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Washing Machine Drain Pipe Blockage Visual Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/2082e0b13d640d2a27d483f6d1eb0513?dataset_scene_id=2},
urldate={2025-08-28},
keywords={Washing Machine Dataset,Drain Pipe Blockage Detection,Industrial Image Dataset,Visual Inspection Dataset},
version={1.0}
}Using this in research? Please cite us.
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