Infant Sleep Posture Recognition Image Dataset
#image classification #posture estimation #pattern recognition #infant sleep safety #sleep posture recognition #maternal and infant health
- 500 records
- 1.5G
- JPG
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
Currently, there are many challenges in improving infant sleep safety, including the difficulty of assessing posture and monitoring sleep status without affecting normal infant sleep. Existing monitoring equipment often relies on clothing sensors, which may cause discomfort and excessive interference. This dataset aims to address the risk of asphyxiation caused by incorrect infant sleep posture through visual recognition technology, optimizing the data input structure of infant care monitoring systems. Images in this dataset were collected using high-definition camera equipment in a simulated home environment to ensure realistic and natural scenes. Quality control includes multiple rounds of annotation, consistency checks, and final review by childcare experts. The data annotation team consists of 30 professionals with backgrounds in medicine and artificial intelligence. Data preprocessing includes image standardization, data augmentation such as rotation and flipping, and is ultimately organized and stored in folders for easy access and application.
Dataset Insights
Sample Examples
f8965761**.jpg|1028*1438|124.90 KB
a1ed5fe2**.jpg|1080*1392|215.35 KB
72ee0ec4**.jpg|1080*1374|177.74 KB
0443ec3f**.jpg|1080*1368|172.25 KB
9c9addf5**.jpg|1080*1374|157.36 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| sleeping_position | string | The category of sleeping position identified, such as supine, lateral, or prone. |
| age_estimation | integer | Estimated age based on the physical features of the infant in the image. |
| posture_points | json | Coordinates of the keypoints of the infant's body posture identified in the image. |
| clothing_type | string | The type of clothing worn by the infant in the image, such as onesie or sleep sack. |
| blanket_presence | boolean | Indicates whether a blanket is covering the infant in the image. |
| head_position | string | Specific position of the infant’s head in relation to the body, such as center, left, or right. |
| expression | string | Facial expression of the infant in the image, such as smiling, crying, or neutral. |
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 main purpose of this dataset?
- The infant sleep position recognition image dataset is used to aid in the research and improvement of infant sleep safety.
- What research fields is this dataset suitable for?
- This dataset is suitable for scientific research, particularly research related to infant sleep safety.
- What modalities of data are included in this dataset?
- The dataset includes data in the image modality.
- What aspects of research can be improved using this dataset?
- Using this dataset can improve research on infant sleep position recognition and safety assessment.
- How does this dataset aid in improving infant sleep safety?
- By providing a large amount of image data of different infant sleep positions, it helps analyze and identify potentially unsafe sleep positions.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Infant Sleep Posture Recognition Image Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/689d2593a15a092180daa5ea85c51ec2?dataset_scene_id=20},
urldate={2026-02-04},
keywords={infant sleep posture dataset, scientific research posture recognition, maternal and infant safety image data},
version={1.0}
}Using this in research? Please cite us.
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