Mercury Thermometer Temperature Value Visual Estimation Dataset

#object detection #data annotation #visual estimation #medical diagnosis #temperature monitoring #health management
  • 5000 records
  • 1.2G
  • JPG/PNG/JSON
  • CC-BY-NC-SA 4.0
  • MOBIUSI INCMOBIUSI INC
Updated:2026-03-10

AI Analysis & Value Prop

The current medical industry faces challenges in accuracy and efficiency in temperature monitoring; traditional manual reading of mercury thermometers is prone to errors and slow processing speed. Existing automated solutions mostly focus on electronic thermometers, overlooking scenarios involving mercury thermometers. This dataset aims to achieve automated estimation of temperature values on mercury thermometers using visual technology, meeting the needs for fast and accurate temperature monitoring. The dataset includes images of mercury thermometers taken under various conditions, captured by smartphone cameras and professional cameras, ensuring image quality. To ensure data quality, we adopted multiple rounds of annotation and consistency checks, with all annotations reviewed by medical experts to ensure accuracy and reliability. Data is stored in JPG format and organized in a standard folder structure for easy processing and access.

Dataset Insights

Sample Examples

b8a0242a**.jpg|980*1306|149.84 KB

8596e36a**.jpg|980*823|150.20 KB

5691b795**.jpg|980*1237|202.83 KB

93e9c88c**.jpg|980*1279|148.98 KB

Technical Specifications

FieldTypeDescription
file_namestringFile name
qualitystringResolution
temperature_valuefloatThe temperature value displayed on the mercury thermometer.
temperature_unitstringThe unit of the thermometer, usually in Celsius or Fahrenheit.
scale_markingsstringVisibility of the scale markings on the thermometer.
thermometer_readabilitystringClarity and readability of the value displayed on the thermometer.
mercury_level_visibilitystringVisibility of the mercury level in the thermometer.

Compliance Statement

Authorization TypeCC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What is the Mercury Thermometer Temperature Value Visual Estimation Dataset?
The Mercury Thermometer Temperature Value Visual Estimation Dataset is an image dataset designed to improve the automation of medical temperature monitoring by detecting and estimating the temperature value on traditional mercury thermometers using visual technology.
How can this dataset be used to enhance the automation level of temperature monitoring?
By training object detection models, this dataset can be used to develop algorithms that automatically recognize and read mercury thermometer temperatures, thus enhancing the automation level of temperature monitoring.
In which medical scenarios is this dataset primarily applied?
This dataset is primarily applied in medical scenarios requiring frequent and large-scale temperature monitoring, such as in hospitals, clinics, or remote health monitoring systems.
What are the advantages of models developed using this dataset?
Models developed using this dataset can improve the efficiency and accuracy of temperature monitoring, reduce human reading errors, and enable continuous 24-hour monitoring.
What is the value of this dataset in the healthcare industry?
In the healthcare industry, this dataset provides an automated solution that makes temperature monitoring faster, more accurate, and reliable, thereby enhancing overall healthcare service quality.

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Cite this Work

@dataset{Mobiusi2025,
  title={Mercury Thermometer Temperature Value Visual Estimation Dataset},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/8483862d855d7137b26800c1ced51123},
  urldate={2025-10-23},
  keywords={mercury thermometer, temperature visual estimation, medical dataset, object detection, medical imaging},
  version={1.0}
}

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