Datasets:
file_name stringclasses 1
value | quality stringclasses 1
value | damage_presence stringclasses 1
value | damage_location stringclasses 1
value | damage_type stringclasses 1
value | damage_severity stringclasses 1
value |
|---|---|---|---|---|---|
d7e21d9fc6fe25e288bdc122b305b38c.jpg | 980*1305 | Present | Center of the thermometer | Fracture | 4 |
Mercury Thermometer Damage and Crack Detection Image Dataset
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.
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 |
Source & Contact
If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com
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