Shaft Seal Inspection Dataset
#Image classification #Object detection #High-temperature component sealing verification #Rotating component wear identification
- 15000 records
- 3.2G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-03-14
AI Analysis & Value Prop
The current industrial landscape faces significant challenges with ensuring the reliability of high-temperature components, particularly in sealing applications. Many existing solutions lack the ability to effectively identify wear and failure modes in rotating components, leading to costly downtimes and failures. This dataset aims to address these technical issues by providing a comprehensive collection of images capturing various states of shaft seals and their wear conditions. The data is collected using high-resolution cameras in controlled environments, where we ensure optimal lighting and angles. Quality control measures include multiple rounds of annotation, consistency checks among annotators, and expert reviews to confirm the accuracy of labels. The images are stored in JPG format, organized systematically for easy access and analysis.
Dataset Insights
Sample Examples
bb2db6a7**.jpg|1707*1279|812.53 KB
0dfe1c4c**.jpg|2000*2664|1.20 MB
3f49af4f**.jpg|1707*1279|894.81 KB
68dce6b3**.jpg|2088*1564|1.15 MB
eab7bc69**.jpg|1279*1707|697.35 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| seal_status | string | The current sealing status of the seal, such as intact or leaking. |
| wear_level | string | The level of wear of the seal, such as no wear, slight wear, or severe wear. |
| material_type | string | The manufacturing materials of seals, such as silicone, fluororubber, etc. |
| temperature_exposure | string | The degree to which the seal is exposed to high temperature conditions, such as low, medium, high. |
| surface_condition | string | The physical condition of the seal's surface, such as smooth, cracked, worn marks, etc. |
| anomaly_detection | boolean | Whether an anomaly is detected, such as yes or no. |
| color_variation | string | Color information and changes of the seal, such as no change, darkening, etc. |
| alignment | string | The degree of alignment of the seal in the equipment, such as normal, offset, etc. |
| thermal_deformation | boolean | Whether the seal undergoes deformation due to high temperature, such as yes or no. |
| installation_orientation | string | The correct installation direction of the seal, such as correct, reverse, etc. |
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 |
Frequently Asked Questions
- What are the uses of the Shaft Seal Detection Dataset?
- This dataset is used for verifying the sealing state and wear identification of high-temperature components, primarily supporting intelligent detection solutions.
- How to use the Shaft Seal Detection Dataset for object detection?
- You can train object detection algorithms such as YOLO or Faster R-CNN to identify the seal condition and wear in the images.
- Which industrial sectors is the Shaft Seal Detection Dataset suitable for?
- This dataset is particularly suited for industrial sectors that require component seal status detection, such as manufacturing and automotive industries.
- What is the format of the images in the Shaft Seal Detection Dataset?
- The images in the dataset are typically in common formats like JPEG or PNG to ensure wide compatibility.
- What are the advantages of using the Shaft Seal Detection Dataset?
- Using this dataset can improve the accuracy and efficiency of seal detection, enhancing a company's quality control capabilities.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Shaft Seal Inspection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/2735d79022f449fc614288f921c2bb57},
urldate={2025-08-28},
keywords={Shaft Seal Inspection,Industrial Dataset,Wear Identification,High-temperature Components,Image Dataset},
version={1.0}
}Using this in research? Please cite us.
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