Handheld Thermometer Scene Hand Keypoint Detection Dataset
#object detection #keypoint recognition #temperature detection #health monitoring #smart healthcare
- 5000 records
- 1.2G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
With the increase in health awareness, the importance of temperature detection in the healthcare industry is becoming more prominent. Current temperature detection methods largely rely on manual operation and are easily affected by environmental and human factors, leading to inaccurate measurements. This dataset aims to provide high-quality hand keypoint detection data to help improve the accuracy of automated temperature detection. The dataset construction includes using high-resolution cameras to take pictures of handheld thermometers under different lighting and background conditions, with multiple rounds of annotation and expert review to ensure data quality. Data is stored in JPG format and organized by folder classification for easy subsequent processing and use. Data quality control measures include consistency checks and expert reviews to ensure the accuracy and completeness of keypoint annotations.
Dataset Insights
Sample Examples
93eedb13**.jpg|980*1306|154.61 KB
d79c45db**.jpg|980*1306|124.21 KB
a9526630**.jpg|980*1154|87.83 KB
2eeafa31**.jpg|980*823|150.20 KB
8b62e381**.jpg|980*1308|141.65 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| hand_presence | boolean | Indicates whether a hand is present in the image. |
| thermometer_location | string | The relative location of the thermometer in relation to the hand. |
| hand_state | string | The state of the hand, such as fist or open. |
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 can this dataset be used for?
- This dataset can be used for research and development of smart medical applications, specifically hand key point detection in handheld thermometer scenarios.
- What is special about this dataset?
- This dataset focuses on handheld thermometer scenarios and is uniquely designed for hand key point detection in the healthcare industry.
- How can this dataset be applied in machine learning?
- This dataset can be used to train object detection models to identify and annotate hand key points when using a handheld thermometer, helping to enhance the functionality of smart thermometers.
- Why is hand key point detection important in the healthcare field?
- Hand key point detection can improve interaction and accuracy in smart medical devices, such as automatically detecting the correct usage posture of thermometers to provide more accurate measurements.
- How many different hand postures does this dataset contain?
- While the specific number is unknown, this dataset covers various possible hand postures during the use of a handheld thermometer, providing rich data support for training.
- Who might be interested in this dataset?
- Engineers and researchers working on smart medical device development, gesture recognition, or computer vision might be interested in this dataset.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Handheld Thermometer Scene Hand Keypoint Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/912e6020c7e98fd3436a5a57677d16f6?cate=2},
urldate={2025-10-23},
keywords={handheld thermometer, keypoint detection, medical dataset, object detection dataset},
version={1.0}
}Using this in research? Please cite us.
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