Annotation Tool

Annotation tools are software applications designed to efficiently and accurately label data for machine learning, addressing the significant time and cost associated with manual labeling. Current research emphasizes improving annotation speed and accuracy through techniques like active learning, human-in-the-loop systems incorporating large language models (LLMs) for assistance, and the development of specialized tools tailored to specific data types (e.g., images, text, code-mixed languages). These advancements are crucial for creating high-quality training datasets, enabling the development of more robust and reliable AI models across diverse scientific and practical applications, including medical image analysis, natural language processing, and geospatial data analysis.