Get started with doccano

What is doccano?

doccano is an open-source data labeling tool for machine learning practitioners. You can perform different types of labeling tasks with many data formats. You can try doccano from the demo page.

You can also integrate doccano with your script because it exposes the features as REST APIs. By using the APIs, you can label your data by using some machine learning model. See API documentation in detail.

Labeling workflow with doccano

Start and finish a labeling project with doccano by the following steps:

Install doccano.
Run doccano.
Set up the labeling project. Select the type of labeling project and configure project settings.
Import dataset. You can also import labeled datasets.
Add users to the project.
Define the annotation guideline.
Start labeling the data.
Export the labeled dataset.

Quick start

Install doccano:

pip install doccano

Run doccano:

doccano init
doccano createuser
doccano webserver
# In another terminal, run the following command:
doccano task

Open doccano UI at http://localhost:8000.
Sign up with a username and password created by the doccano createuser.
Click Create to create a project and start labeling data.
Click Import dataset on the dataset page and import the dataset you want to use.
Click Start annotation and label the data.
Click Export dataset on the dataset page and export the labeled dataset.

Architecture

You can customize doccano to suit your needs. The architecture of doccano consists of two parts: backend and frontend.

Module	Technology	Description
doccano backend	Python, Django, and Django Rest Framework	Perform data labeling via REST APIs.
doccano frontend	Javascript web app using Vue.js and Nuxt.js	Perform data labeling in a user interface.

Contact

For help and feedback, please feel free to contact the author.

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