Mercury Thermometer Scale Number OCR Recognition Dataset

#Object detection #image recognition #Medical image recognition #automated diagnosis #data analysis
  • 5000 records
  • 1.2G
  • JPG/PNG/JSON
  • CC-BY-NC-SA 4.0
  • MOBIUSI INCMOBIUSI INC
Updated:2026-02-04

AI Analysis & Value Prop

In the current medical industry, temperature monitoring is a basic and important link. However, traditional mercury thermometers have issues with manual errors and untimely information transmission in data recording. Existing OCR solutions still have shortcomings in recognition accuracy and processing speed, such as poor adaptability to different lighting and angles. This dataset aims to solve the technical difficulties of real-time automatic recognition and improve the automation of medical data processing by providing a large amount of image data of mercury thermometer scale numbers. The dataset structure includes image ID, image data, and corresponding annotation information. Data collection is conducted using high-resolution professional cameras under standard lighting conditions to ensure image quality. In terms of quality control, multiple rounds of annotation and expert review are used to ensure data accuracy and consistency. Data is stored in JPEG format, organized by category and ID for classified management.

Dataset Insights

Sample Examples

7b8dad67**.jpg|980*1306|149.84 KB

8f116da8**.jpg|980*1154|87.83 KB

b323cb38**.jpg|980*1306|210.63 KB

c1dd0bc3**.jpg|980*1176|94.90 KB

2ea98faf**.jpg|980*823|150.20 KB

Technical Specifications

FieldTypeDescription
file_namestringFile name
qualitystringResolution
scale_valuestringThe scale values identified from the mercury thermometer.
scale_colorstringThe color of the scale, such as black or red.
scale_visibilitybooleanIndicates whether the scale is clearly visible.

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 main task of this dataset?
This dataset is primarily used for OCR recognition and object detection of mercury thermometer scale numbers.
In which industry field is this dataset applied?
This dataset is applied in the healthcare industry.
What kind of data modality does the dataset contain?
The dataset contains image data modality.
How does this dataset assist the medical field?
This dataset can aid in automating the reading of thermometer scale numbers, improving measurement efficiency and accuracy in the medical field.
Why is OCR recognition of mercury thermometer scale numbers needed?
It is needed to automate the reading process, reduce human error, and improve efficiency and diagnostic accuracy.

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Cite this Work

@dataset{Mobiusi2025,
  title={Mercury Thermometer Scale Number OCR Recognition Dataset},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/03f15e816b7d2694f2400f81ba81ef18?dataset_scene_id=4},
  urldate={2025-10-23},
  keywords={OCR recognition, mercury thermometer, medical dataset, object detection, image recognition},
  version={1.0}
}

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