Doccano

Doccano is a collaborative data labeling platform and machine learning dataset management system. It provides a web-based interface for teams to import raw text, mark datasets, and export structured annotations for model training.

The project specifically supports text annotation for classification and named entity recognition tasks. It enables teams to coordinate multiple users on a single project to maintain consistent labeling guidelines and increase the speed of dataset creation.

The system includes tools for data management and team coordination, providing the ability to import raw datasets and export completed annotations into structured formats. A programmatic interface allows for the retrieval of results and the integration of external systems.

The application can be installed on cloud infrastructure using automated deployment templates.

Features

Data Labeling Interfaces - A programmatic interface for organizing datasets and retrieving completed annotation results via a browser.

Data Labeling Platforms - Provides a specialized platform for coordinating teams to annotate datasets used in machine learning model training.

Data Labeling Tools - Provides a collaborative interface and workflow for annotating datasets for supervised machine learning.

Data Preparation Tools - Prepares machine learning datasets by importing raw text and exporting structured labels.

Dataset Management Tools - Implements tools for importing raw data and exporting structured annotations for machine learning workflows.

Text Annotation - Provides a dedicated interface for labeling raw text for classification and named entity recognition.

Team Collaboration Management - Provides administrative tools to manage user groups and establish shared labeling guidelines.

Role-Based Access Control - Implements role-based access control to manage user permissions and project membership.

Collaborative Annotation - Enables multiple users to coordinate on a single labeling project to accelerate dataset creation.

Text Labels - Provides a shared interface for team-based marking of text datasets for ML tasks.

JSON Exports - Provides serialization of annotation data into JSON format for compatibility with ML pipelines.

Data Export - Converts completed annotations into structured dataset formats suitable for model training.

Data Import - Supports bulk loading of raw or existing labeled data into projects to begin annotation.

Data Retrieval Interfaces - Offers programmatic interfaces to retrieve project data and annotation results for external automation.

REST APIs - Ships a REST API for programmatic data retrieval and submission between the frontend and backend.

External API Integrations - Allows external systems to connect to project data and annotation functions via a web interface.

Natural Language Processing - Collaborative web-based tool for text annotation.

Text Annotation Tools - Open-source tool for text classification and sequence labeling tasks.

Data Annotation and Synthesis - Text annotation tool for sentiment analysis and entity recognition.

API and Development Tools - Tool for annotating text and image data.

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Features

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