Home Sleep Monitoring Scene Classification Image Dataset
#image classification #pattern recognition #home health monitoring #sleep research #medical image analysis
- 5000 records
- 1.5G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-03-15
AI Analysis & Value Prop
In the current medical industry, home sleep monitoring is gradually gaining attention. However, due to the lack of systematic image datasets, related research and product development face difficulties. Existing solutions often rely on a small amount of data, making it difficult to achieve large-scale model training and application. To address this issue, this dataset aims to provide a rich set of classified images for home sleep monitoring scenes, helping researchers and developers better understand and analyze sleep states. Data collection uses professional sleep monitoring equipment, capturing images in various home scenes to ensure the diversity and representativeness of the data. Quality control is ensured through three rounds of annotation and expert review to maintain consistency and accuracy in annotations. The data is stored in JPG format, categorized by scene for convenient subsequent training and analysis.
Dataset Insights
Sample Examples
efbf0940**.jpg|1080*1440|268.89 KB
6424b944**.jpg|1080*1440|181.25 KB
963ed0fe**.jpg|1080*1384|191.28 KB
a81b2174**.jpg|1080*810|117.82 KB
46585611**.jpg|1280*1706|454.73 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| scene_description | string | Describes the specific scene of home sleep monitoring in the image. |
| bed_presence | boolean | Indicates whether there is a bed present in the image. |
| sleeping_posture | string | Identifies the sleeping posture of the person in the image, such as side-lying, supine, etc. |
| person_count | integer | The number of people appearing in the image. |
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 is the Household Sleep Monitoring Scene Classification Image Dataset?
- The Household Sleep Monitoring Scene Classification Image Dataset is an image classification dataset focused on categorizing images from sleep monitoring scenes in a home environment.
- How is this dataset used for medical image analysis?
- This dataset can be used to analyze medical images in different sleep scenarios, assisting researchers in relevant medical studies and diagnosis.
- What are the uses of the images in the Household Sleep Monitoring Scene Dataset?
- The images in the dataset can support sleep research, enhance sleep monitoring technology, and aid in developing related medical applications.
- What types of sleep scenes does the dataset include?
- The dataset may include various sleep scenes in home environments, such as bedroom lighting changes and sleeping posture monitoring. The specific scene types can be confirmed based on the dataset details provided.
- How can this dataset support sleep research?
- Researchers can use the images in this dataset for sleep pattern analysis, developing more efficient sleep monitoring systems, and improving the diagnosis and treatment of sleep-related disorders.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Home Sleep Monitoring Scene Classification Image Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/2bf7a4cecc9c1e36fcd12725fffd040d},
urldate={2025-10-22},
keywords={home sleep monitoring, image classification dataset, medical dataset, sleep research},
version={1.0}
}Using this in research? Please cite us.
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