VitalWatch is a cutting-edge ICU Surveillance Event Detection System designed to elevate patient monitoring within hospital intensive care units. Leveraging YOLO for real-time object detection and a Human-in-the-Loop (HITL) system for continuous improvement, this project ensures accurate, adaptive, and comprehensive surveillance.
Annotation assistent tool that uses CLIP to find described objects in dataset and label them
A simple python-script to augment an annotated dataset in JPG/XML Format as used by LabelIMG (https://github.com/tzutalin/labelImg) and now Label Studio. The script will rotate the images 4 times and mirror the resulting images and the annotations making for an expansion by the factor of 8.
Label studio ML bakcend for pre label generation
Docker compose dedicated to image annotations and visualisation : to quickly deploy the needed tools to create datasets of images and annotate them.
A layout analysis pipeline using Detectron2 + Label Studio for extracting based on Fast R-CNN and annotating sections like abstract, table, figure, and references from academic PDFs
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