Multi-Brand Blood Pressure Monitor Readings Comparison Dataset

With increasing attention to health, the use of blood pressure monitoring devices has become more widespread. However, existing datasets often lack samples from multiple brands and models, making them insufficient for model training needs. This dataset compares readings from different brands of blood pressure monitors, aiming to provide a rich and high-quality training foundation to help improve the accuracy of target detection models in recognizing blood pressure monitor readings. Data collection utilizes professional equipment and is conducted under various lighting and environmental conditions to ensure diversity. In terms of quality control, multiple rounds of annotation and expert review are employed to ensure consistency and accuracy of annotations. Data storage uses JPG format for image storage and JSON format for annotation information, facilitating subsequent processing and analysis.