Labeling Tool

Labeling tools are software applications designed to streamline the process of annotating data for machine learning, a crucial but often laborious task. Current research focuses on improving efficiency and accuracy through techniques like integrating deep learning models (e.g., convolutional neural networks, YOLO) with interactive interfaces, developing novel labeling strategies (e.g., multi-size and distance-based labeling), and employing semi-supervised or active learning methods to reduce the need for extensive manual annotation. These advancements are significantly impacting various fields, including medical image analysis, where they accelerate the development of AI-powered diagnostic and therapeutic tools, and digital pathology, where they enable high-throughput analysis of large histological datasets.