labelbook

Labelbook is a software tool designed for annotating datasets, primarily for machine learning and computer vision applications. It provides a user-friendly interface for creating and managing labels for various types of data, including images, videos, and text. The core functionality of Labelbook revolves around its ability to facilitate the manual annotation process, allowing users to assign categories, bounding boxes, polygons, keypoints, and other relevant labels to their data.

The platform supports a range of annotation tasks, making it adaptable to different project requirements. For image annotation, users can draw bounding boxes to identify objects, create masks for segmentation, or place keypoints to mark specific locations. In video annotation, Labelbook enables the tracking of objects across frames, ensuring consistency in labeling over time. For text data, it supports tasks such as named entity recognition and sentiment analysis.

Labelbook aims to streamline the workflow of data annotation by offering features like project management, collaboration tools, and export functionalities in common formats used by machine learning frameworks. This allows teams to work together on large datasets and easily integrate the annotated data into their training pipelines. The tool is often used by researchers, data scientists, and machine learning engineers who require high-quality labeled data to train and evaluate their models.