Visual Regression Estimation Image Dataset for Body Temperature Values
#Object Detection #Regression Estimation #Medical Image Analysis #Body Temperature Monitoring #Smart Health Management
- Records
- 5000 records
- Size
- 1.2G
- Format
- JPG/PNG/JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-05
AI Analysis & Value Prop
The current healthcare industry faces numerous challenges in body temperature monitoring, especially concerning the accuracy of data acquisition and analysis. Existing solutions often rely on traditional temperature measurement devices, with issues such as poor real-time performance and insufficient data accuracy. This dataset aims to provide high-quality image data, enhancing accuracy and efficiency in temperature detection through visual regression estimation techniques.
Data is collected using high-resolution cameras in clinical environments to capture temperature-related images of different patients. To ensure data quality, multiple rounds of annotation, consistency checks, and expert reviews are implemented as quality control measures. Data is stored in JPG format and organized by ID, facilitating subsequent data processing and analysis.
The core advantage of this dataset is its high data quality, with annotation accuracy exceeding 95% and good consistency, making it suitable for training deep learning models. The technical innovation lies in using new image enhancement techniques to effectively improve model generalization capabilities. The application value is significant, with an expected improvement in temperature detection accuracy by at least 15%, greatly enhancing the efficiency and quality of medical services.
Overview
Dataset Insights
Preview
Sample Examples
62c9da48**.jpg|980*1114|67.50 KB
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Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| temperature_estimation | float | The estimated body temperature value derived from visual information in the image. |
Trust
Compliance Statement
Authorization Type
Proprietary - Commercial AI Training License (No Redistribution)
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
FAQ
Frequently Asked Questions
- What is the Visual Regression Estimation Image Dataset for Body Temperature?
- The Visual Regression Estimation Image Dataset for Body Temperature is a dataset containing high-quality images specifically designed for estimating and analyzing body temperature in the healthcare domain.
- How does this dataset aid in medical image analysis?
- This dataset aids in medical image analysis by providing high-quality image data that helps researchers and medical professionals improve the accurate estimation of body temperature, thereby enhancing medical imaging analysis.
- What are the main applications of the Visual Regression Estimation Image Dataset for Body Temperature?
- The main applications of this dataset include the development and testing of temperature estimation models and algorithms for more effective health monitoring in healthcare settings.
- What technologies can be used to analyze the Visual Regression Estimation Image Dataset for Body Temperature?
- Technologies like computer vision and deep learning can be used to analyze the dataset to extract temperature-related information from images.
- Why choose temperature estimation as a research direction?
- Body temperature is an important health indicator, and estimating it through image analysis can provide a basis for timely and non-invasive health monitoring.
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Cite this Work
@dataset{Mobiusi2025,
title={Visual Regression Estimation Image Dataset for Body Temperature Values},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/a9615a8482abdb5852b95bf389e4988c?dataset_scene_id=4},
urldate={2025-10-23},
keywords={body temperature detection dataset, visual regression, medical image data, object detection},
version={1.0}
}Using this in research? Please cite us.
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