Datasets:
tags:
- Image Classification
- Anomaly Detection
- Supervised Learning
- Industrial Inspection
- Quality Control
- Machine Learning
- Predictive Maintenance
license: cc-by-nc-sa-4.0
task_categories:
- image-classification
language:
- en
pretty_name: Washing Machine Drum Imbalance Detection Dataset
size_categories:
- 1B<n<10B
Washing Machine Drum Imbalance Detection Dataset
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.
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| bucket_position | string | The position of the washing machine’s inner drum in the image |
| imbalance_severity | integer | The detected severity of imbalance in the washing machine’s inner drum |
| damage_present | boolean | Whether the washing machine’s inner drum shows any apparent damage |
| anomaly_detection | boolean | Whether any anomalies related to the inner drum position were detected |
| object_count | integer | The number of objects detected in relation to the inner drum imbalance |
| lighting_conditions | string | Analysis of the lighting conditions during the image capture |
| image_quality_score | float | A comprehensive score of image sharpness and contrast. |
| part_obstruction | boolean | Whether there are other objects or components blocking the view of the inner drum. |
| angle_of_capture | integer | The angle of the camera when the image was taken. |
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 |
Source & Contact
If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com