#Label Studio

Label Studio is an open-source tool simplifying data labeling for audio, text, images, videos, and more. It provides multi-user collaboration and project management, integrates with machine learning workflows via REST API and SDK, and supports data import from various sources, enhancing data accuracy through pre-labeling and active learning. Deployable locally or on the cloud, it supports Docker, pip, and Anaconda for flexible operations.

LabelImg, an open source image annotation tool, is designed in Python with a Qt interface. It supports PASCAL VOC, YOLO, and CreateML formats, aiding machine learning through efficient image labeling. Despite LabelImg's development integration with Label Studio, it remains a fundamental tool for image annotation, available on PyPI for Python 3+. It includes features for annotation visualization, class pre-definition, and hotkey usage, and supports Docker deployments. Compatible with multiple platforms, it requires minimal setup with Python and PyQt.

Label Studio Frontend is an open-source data annotation library using React and mobx-state-tree, now deprecated in favor of HumanSignal's Label Studio editor. Though read-only, it allows developers to integrate annotation features into applications via its NPM package. As part of a broader ecosystem, it facilitates label encoding and transformer configurations, licensed under Apache 2.0.

Label Studio Converter, now part of the Label Studio SDK, facilitates conversion of diverse annotation formats like JSON, CSV, COCO, and Pascal VOC XML for machine learning libraries. It is particularly effective for YOLO annotations, supporting both local and cloud storage configurations. This tool simplifies data importation into Label Studio, enhancing workflow efficiency. Suitable for developers in need of streamlined data preparation.