Washing Machine Drum Imbalance Detection Dataset

#Image Classification #Anomaly Detection #Supervised Learning #Industrial Inspection #Quality Control #Machine Learning #Predictive Maintenance
  • 5000 records
  • 1.5G
  • JPG/PNG/JSON
  • CATL
  • MOBIUSI INCMOBIUSI INC
Updated:2026-04-14

AI Analysis & Value Prop

The washing machine industry faces significant challenges related to efficiency and longevity of appliances due to imbalanced drum operation. Current solutions often lack precise detection methods, leading to increased maintenance costs and reduced machine lifespan. This dataset aims to address the specific technical challenge of detecting imbalance in washing machine drums using image analysis, fulfilling an urgent business need for manufacturers and service providers. The dataset comprises images captured using high-resolution cameras in controlled environments, ensuring optimal lighting and angle. Quality control measures include multiple rounds of labeling, consistency checks among annotators, and expert review to ensure accuracy. The data is stored in JPG format, with organized folders for easy access and retrieval.

Dataset Insights

Sample Examples

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Technical Specifications

FieldTypeDescription
file_namestringFile name
qualitystringResolution
bucket_positionstringThe position of the washing machine’s inner drum in the image
imbalance_severityintegerThe detected severity of imbalance in the washing machine’s inner drum
damage_presentbooleanWhether the washing machine’s inner drum shows any apparent damage
anomaly_detectionbooleanWhether any anomalies related to the inner drum position were detected
object_countintegerThe number of objects detected in relation to the inner drum imbalance
lighting_conditionsstringAnalysis of the lighting conditions during the image capture
image_quality_scorefloatA comprehensive score of image sharpness and contrast.
part_obstructionbooleanWhether there are other objects or components blocking the view of the inner drum.
angle_of_captureintegerThe angle of the camera when the image was taken.

Compliance Statement

Authorization TypeProprietary - Commercial AI Training License (No Redistribution)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What is the washing machine drum imbalance detection dataset?
The washing machine drum imbalance detection dataset is an image dataset used to identify and detect the imbalance state of the washing machine drum, containing a large number of labeled images.
What industrial fields is this dataset mainly applied to?
This dataset is mainly applied in the industrial field to detect and analyze the imbalance state of washing machines during operation.
What is the importance of detecting the imbalance state of a washing machine drum?
Detecting the imbalance state of a washing machine drum is crucial for ensuring the safe operation of the washing machine and extending its lifespan, as imbalance may lead to abnormal wear and malfunction.
What type of image data does this dataset use?
This dataset uses labeled object detection images to identify and detect the imbalance state of the washing machine drum.
Why is object detection a suitable method for analyzing the imbalance state of a washing machine drum?
Object detection can accurately identify and locate specific objects and states in images, making it an efficient method for analyzing the imbalance state of a washing machine drum.
How can this dataset be used to improve the design and functionality of washing machines?
This dataset can be used to develop and train detection models, which can enhance the accuracy of imbalance state detection, thereby improving the design and performance of washing machines.

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Cite this Work

@dataset{Mobiusi2025,
  title={Washing Machine Drum Imbalance Detection Dataset},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/320702e9f11651834cef339fb3bbbda1?dataset_scene_id=2},
  urldate={2025-08-28},
  keywords={Washing Machine Dataset,Imbalance Detection,Industrial Dataset,Machine Learning,Quality Control},
  version={1.0}
}

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