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Medical Staff People Tracking - Object Detection dataset
The dataset contains a collection of frames extracted from videos captured within a hospital environment. The bounding boxes are drawn around the doctors, nurses, and other people who appear in the video footage.
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The dataset can be used for computer vision in healthcare settings and the development of systems that monitor medical staff activities, patient flow, analyze wait times, and assess the efficiency of hospital processes.
Dataset structure
The dataset consists of 2 folders with frames from the video from a hospital. Each folder includes:
- images: folder with original frames from the video,
- boxes: visualized data labeling for the images in the previous folder,
- .csv file: file with id and path of each frame in the "images" folder,
- annotations.xml: contains coordinates of the bounding boxes, created for the original frames
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Data Format
Each frame from images
folder is accompanied by an XML-annotation in the annotations.xml
file indicating the coordinates of the bounding boxes for people tracking. For each point, the x and y coordinates are provided.
Classes:
- doctor - doctor in the frame
- nurse - nurse in the frame
- others - other people (not medical staff)
Example of the XML-file
Object tracking might be made in accordance with your requirements.
TrainingData provides high-quality data annotation tailored to your needs
More datasets in TrainingData's Kaggle account: https://www.kaggle.com/trainingdatapro/datasets
TrainingData's GitHub: https://github.com/Trainingdata-datamarket/TrainingData_All_datasets
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