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 assistant 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.
AI-powered Blueprint tool: ai quantity takeoffs, export tables/schedules to CSV, chat with your blueprints, and more. AWS web-app with blueprint PDF parsing engine, YOLO models trained on construction blueprints, OCR and search, upload blueprints any size and use the context-engine to make blueprints digestible via LLMs.
Docker compose dedicated to image annotations and visualisation : to quickly deploy the needed tools to create datasets of images and annotate them.
Auto-Labeling tool for computer vision tasks (Boxes, Instance Masks, Keypoints)
HIERARCHICAL DENSE ENSEMBLE DETECTOR: open source brute force auto-annotation tool for object-detection and classification.
Fork of HumanSignal’s SAM2 image ML backend for Label Studio, adding subpatching, extra output formats, and multi-instance Docker Compose deployment.
Multi-Class Image Annotation Dataset — Created using Label Studio | COCO & YOLO formats | Object Detection + Segmentation Practice
Label studio ML bakcend for pre label generation
A free deployment method for Label Studio to handle annotation task for Image Classification.
Pipe-line using fine-tuned YOLO model to controle municipal services.
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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