Data Annotation Application

Overview

Design and development of a novel data annotation application with a graphical user interface using PyQt for efficient manual label annotations in surgical robotics research.

Technical Details

• Developed user-friendly GUI using PyQt5
• Implemented efficient labeling workflows for multi-modal data
• Supported various annotation types for task descriptions (phase, step, gesture and events)
• Integrated with data collection pipeline for seamless workflow

Application

This tool is used to annotate the large-scale ex-vivo dataset for tool-tissue contact detection research.

More details will be added later. Stay tuned!