Mercury Thermometer Damage and Crack Detection Image Dataset
#object detection #image classification #medical imaging analysis #equipment monitoring #safety inspection
- 5000 records
- 1.2G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-03-13
AI Analysis & Value Prop
The current medical industry faces numerous challenges in equipment monitoring and safety checks, especially in the use of mercury thermometers, where damage and cracks can pose serious safety hazards. Existing detection solutions often rely on manual inspection, which is not only inefficient but also prone to missed detections and misjudgments. Therefore, constructing a high-quality mercury thermometer damage and crack detection dataset aims to improve detection accuracy and efficiency through deep learning technologies. The dataset includes images of various damaged states of mercury thermometers, captured using professional equipment, ensuring image clarity and authenticity. In terms of quality control measures, a method combining multiple rounds of labeling and expert review is adopted to ensure annotation consistency and accuracy. The data storage format is JPG, organized by category for ease of subsequent analysis and use.
Dataset Insights
Sample Examples
d7e21d9f**.jpg|980*1305|139.20 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| damage_presence | boolean | This field indicates whether there is any damage present in the mercury thermometer. |
| damage_location | string | This field describes the specific location of the damage on the mercury thermometer. |
| damage_type | string | This field identifies the type of damage to the mercury thermometer, such as cracks, breaks, etc. |
| damage_severity | integer | This field represents the severity level of the damage in the mercury thermometer, suggested range is from 1 to 5. |
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 is the Mercury Thermometer Crack and Damage Detection Image Dataset?
- This is an image dataset specifically designed for detecting cracks and damages in mercury thermometers, aimed at enhancing the safety monitoring of medical equipment.
- In which fields is the Mercury Thermometer Crack and Damage Detection Dataset applied?
- The dataset is mainly applied in the healthcare sector for quality control and safety monitoring of mercury thermometers.
- How is the accuracy of the Mercury Thermometer Detection Image Dataset ensured?
- The accuracy is ensured by high-quality image acquisition and precise labeling, accurately reflecting cracks and damages in mercury thermometers.
- What are the advantages of using the Mercury Thermometer Detection Dataset?
- Using this dataset can significantly enhance the automation of mercury thermometer detection, reduce human error, and raise safety standards.
- Why is crack detection in mercury thermometers important?
- Detecting cracks in mercury thermometers helps prevent mercury leaks, protecting patient safety and the environment.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Mercury Thermometer Damage and Crack Detection Image Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/eaeed2b0efeb40b2e0fbee0c0f6010a5},
urldate={2025-10-23},
keywords={mercury thermometer, damage detection, crack detection, medical imaging dataset, object detection data},
version={1.0}
}Using this in research? Please cite us.
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