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
  • CC-BY-NC-SA 4.0
  • MOBIUSI INCMOBIUSI INC
Updated:2026-03-11

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

e29c59fb**.jpg|1620*2160|627.49 KB

636f0e7e**.jpg|1080*1302|31.89 KB

63277f8b**.jpg|800*1067|140.40 KB

00638dcc**.jpg|1080*1440|170.45 KB

Technical Specifications

Compliance Statement

Authorization TypeCC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
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

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Cite this Work

@dataset{Mobiusiundefined,
  title={},
  author={Mobiusi},
  year={undefined},
  url={https://www.mobiusi.com/datasets/320702e9f11651834cef339fb3bbbda1},
  urldate={},
  keywords={},
  version={}
}

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