Mobiusi/Infant-Sleep-Posture-Recognition-Image-Dataset
Infant Sleep Posture Recognition Image Dataset 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… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Infant-Sleep-Posture-Recognition-Image-Dataset.
Infant Sleep Posture Recognition Image Dataset
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.
Technical Specifications
Compliance Statement
<table> <tr> <td>Authorization Type</td> <td>CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)</td> </tr> <tr> <td>Commercial Use</td> <td>Requires exclusive subscription or authorization contract (monthly or per-invocation charging)</td> </tr> <tr> <td>Privacy and Anonymization</td> <td>No PII, no real company names, simulated scenarios follow industry standards</td> </tr> <tr> <td>Compliance System</td> <td>Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs</td> </tr> </table>
Source & Contact
If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com
