Data-centric AI building blocks for computer vision applications


Keywords
computer, vision, data, annotation, visualization, deep, learning, machine, computer-vision, data-annotation, data-visualization, deep-learning, machine-learning, python
License
CECILL-C
Install
pip install pixano==0.6.5

Documentation

Pixano

Data-centric AI building blocks for computer vision applications

Under active development, subject to API change

GitHub version PyPI version Docker Coverage Tests Documentation Python version License


Pixano is an open-source tool by CEA List for exploring and annotating your dataset using AI features:

  • Fast dataset navigation using the the modern storage format Lance
  • Multi-view datasets support for text, images and videos, and soon for 3D point clouds
  • Import and export support for dataset formats like COCO
  • Semantic search using models like CLIP
  • Smart segmentation using models like SAM

Installing Pixano

As Pixano requires specific versions for its dependencies, we recommend creating a new Python virtual environment to install it.

For example, with conda:

conda create -n pixano_env python=3.10
conda activate pixano_env

Then, you can install the Pixano package inside that environment with pip:

pip install pixano

Pixano is also available on the Docker Hub, you can also install it as follows:

docker pull pixano/pixano:stable

Using Pixano

Please refer to our Getting started guide for information on how to launch and use the Pixano app, and how to create and use Pixano datasets.

Contributing

Please refer to our CONTRIBUTING.md for information on running Pixano locally and guidelines on how to publish your contributions.

License

Pixano is licensed under the CeCILL-C license.