Mmarker

Mmarker is a cross-platform, open-source annotation tool designed to facilitate label creation for machine learning, computer vision, and natural language processing projects. It provides an integrated environment for creating, reviewing, and exporting labeled data, with a focus on collaboration and reproducibility.

The project offers a modular architecture with a web-based editor and optional desktop client. It supports multiple annotation types, including bounding boxes, polygons, polylines, points, segmentation masks, and text labels. Project management features include user roles, task assignments, and versioned annotation histories. Data validation and quality-control workflows help ensure consistency across teams and datasets.

Data can be imported from common formats and exported in interchange formats such as COCO, VOC, YOLO, and JSON. Mmarker also supports plugin systems and REST APIs to enable integration with data pipelines and model training workflows. The tool runs on Linux, Windows, and macOS and can be deployed on-premises or in cloud environments, either standalone or as part of a larger data-labeling platform.

History and development: Mmarker was released in the early 2020s by a community of contributors and has evolved through multiple major iterations. The project emphasizes openness, modularity, and interoperability, with ongoing updates to support new formats and collaboration workflows.

Licensing and reception: Mmarker is released under the MIT license. It has been used by researchers and developers for small to medium-sized labeling tasks and is noted for its extensibility and transparency, though users may encounter a learning curve for advanced features.

See also: Data labeling tools, Annotation tool, COCO format, YOLO format.