Datasets:
file_name stringclasses 4
values | quality stringclasses 4
values | bucket_position stringclasses 4
values | imbalance_severity stringclasses 3
values | damage_present stringclasses 2
values | anomaly_detection stringclasses 1
value | object_count stringclasses 3
values | lighting_conditions stringclasses 4
values | image_quality_score stringclasses 1
value | part_obstruction stringclasses 4
values | angle_of_capture stringclasses 4
values |
|---|---|---|---|---|---|---|---|---|---|---|
00638dcca96ffe7ea84dbbbf2f5cc072.jpg | 1080*1440 | Washing machine inner tub located slightly below the center of the image | No obvious imbalance detected | No significant damage | No anomaly detected | 1 | Well-lit, good conditions | High | Partially obstructed by a chair leg | Slightly top-down angle |
63277f8b9905b18be78d681e715aa9ee.jpg | 800*1067 | Washing machine inner tub placed on the floor against the wall | No significant imbalance detected | No significant damage | No anomaly detected | No relevant object detected | Even lighting, slight shadows | High | No objects obstructing the tub | Taken from an angled position |
636f0e7ec5069432ef2f6f4eaf30dbbb.jpg | 1080*1302 | Inner tub located at the center of the image | No imbalance detected | No significant damage visible | No anomaly detected | 0 | Good lighting conditions | High | No visible obstruction | Vertical top-down |
e29c59fbddc6b2f5710c48861e820d8e.jpg | 1620*2160 | Inner tub located at the very center of the image | No significant imbalance detected | No significant damage visible | No anomaly detected | 0 | Even, moderate lighting | High | No obstruction | Taken from directly above |
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
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