https://github.com/pixano/pixano

Data-centric AI building blocks for computer vision applications
https://github.com/pixano/pixano

computer-vision data-annotation data-visualization deep-learning machine-learning python

Last synced: 7 months ago
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Data-centric AI building blocks for computer vision applications

• Host: GitHub
• URL: https://github.com/pixano/pixano
• Owner: pixano
• License: other
• Created: 2023-03-29T07:30:48.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2025-07-31T15:24:04.000Z (8 months ago)
• Last Synced: 2025-08-26T03:47:36.231Z (7 months ago)
• Topics: computer-vision, data-annotation, data-visualization, deep-learning, machine-learning, python
• Language: Python
• Homepage: https://pixano.github.io/
• Size: 187 MB
• Stars: 53
• Watchers: 4
• Forks: 7
• Open Issues: 12
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

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README

          










**Data-centric AI building blocks for computer vision applications**

**_Under active development, subject to API change_**

[![GitHub version](https://img.shields.io/github/v/release/pixano/pixano?label=release&logo=github)](https://github.com/pixano/pixano/releases)

[![PyPI version](https://img.shields.io/pypi/v/pixano?label=release&logo=pypi&logoColor=white)](https://pypi.org/project/pixano/)

[![Docker](https://img.shields.io/docker/v/pixano/pixano?sort=semver&label=release&logo=docker&logoColor=white)](https://hub.docker.com/r/pixano/pixano/)

[![Coverage](https://img.shields.io/codecov/c/github/pixano/pixano/main?logo=codecov&logoColor=white)](https://codecov.io/github/pixano/pixano)

[![Tests](https://img.shields.io/github/actions/workflow/status/pixano/pixano/backend.yml?label=tests&branch=main)](https://github.com/pixano/pixano/actions/workflows/backend.yml)

[![Documentation](https://img.shields.io/website?url=https%3A%2F%2Fpixano.github.io%2F&up_message=online&down_message=offline&label=docs)](https://pixano.github.io)

[![Python version](https://img.shields.io/pypi/pyversions/pixano?color=blue&logo=python&logoColor=white)](https://www.python.org/downloads/)

[![License](https://img.shields.io/badge/license-CeCILL--C-blue.svg)](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:

```shell

conda create -n pixano_env python=3.10

conda activate pixano_env

```

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

```shell

pip install pixano

```

Pixano is also available on the [Docker Hub](https://hub.docker.com/r/pixano/pixano), you can also install it as follows:

```shell

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](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](LICENSE).