Healthcare & Medical

The ICU Equipment Interface Image Recognition Dataset is used to enhance the accuracy of medical equipment interface recognition.

This dataset aims to improve the accuracy of automatic recognition of syringes and consumables, optimizing medical equipment management.

This dataset focuses on the monitoring of real-time injection therapy processes, aiming to improve medical management and safety.

Electric wheelchair object detection image dataset, boosting the development of assistive medical technology.

This dataset provides high-quality images of sleep monitoring devices to aid in medical device classification research.

This dataset provides high-quality image data for electric wheelchair status classification, aiding the development of intelligent monitoring technology.

This dataset is designed to support the application and development of machine learning technology in emergency medical scenarios.

This dataset focuses on image classification of infusion bottle liquid types, aiding the intelligent development of the medical field.

This dataset provides high-quality consumable operation image data for the medical field, supporting object detection tasks.

This dataset provides images of infusion stands of various models and materials, supporting medical equipment management and intelligent decision-making.

The Dental Clinic X-ray Image Caries Segmentation Dataset is fundamental data for improving caries detection accuracy.

The Dental Treatment Process Action Recognition Dataset is used to improve the accuracy and efficiency of dental treatment action recognition.

This dataset provides classification images for home sleep monitoring scenes, supporting sleep research and medical image analysis.

This dataset provides high-quality image data for basic care monitoring, supporting object detection tasks.

The CT Imaging Lung Nodule Detection Dataset focuses on improving the accuracy of lung nodule detection in the healthcare sector.

This dataset focuses on posture classification for wheelchair operators to support advancements in assistive medical technologies.

This dataset contains images of various models of electric wheelchairs for automated classification and recognition.

This dataset focuses on image classification of patient conditions in ambulances, providing crucial support for medical research.

The Clinic Electronic Medical Record Q&A Dataset focuses on image data mining in the healthcare field.

This dataset provides comparison detection images of different types of thermometers, supporting medical research and equipment evaluation.