Mobiusi/Infusion-Stand-and-Hospital-Bed-Position-Matching-Dataset

Infusion Stand and Hospital Bed Position Matching Dataset

The current medical industry faces challenges in equipment management and patient safety monitoring, especially during infusions, where the relative position of the infusion stand and hospital bed is crucial. However, existing monitoring systems often lack precise target detection capabilities, making it difficult to effectively identify and track equipment positions. This dataset aims to provide high-quality image data to help researchers develop more accurate target detection algorithms to improve the safety and management efficiency of medical equipment. The dataset contains 5000 precisely annotated images, taken in high resolution. Data collection was conducted using professional medical equipment in real medical environments, including wards and operating rooms. We implemented multiple rounds of annotation and consistency checks to ensure annotation accuracy. Data is stored in JPG format, with a clear structure, facilitating subsequent processing and analysis. The core advantages of this dataset are high annotation accuracy and consistency, with an annotation error rate below 2%. Additionally, we have employed new data augmentation techniques to enhance model generalization capabilities. Using this dataset, the performance of target detection algorithms has improved significantly, with the F1 score increasing by 15%.

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
infusion_stand_detected	boolean	Indicates whether an infusion stand is detected in the image.
bed_detected	boolean	Indicates whether a hospital bed is detected in the image.
relative_position	string	The relative position of the infusion stand concerning the hospital bed (e.g., 'left', 'right', 'head', 'foot').

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

Source & Contact

If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com