{"id":25963845,"url":"https://github.com/pixano/pixano","last_synced_at":"2025-08-27T01:44:14.412Z","repository":{"id":152986172,"uuid":"620693817","full_name":"pixano/pixano","owner":"pixano","description":"Data-centric AI building blocks for computer vision 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align=\"center\"\u003e\n\n\u003cimg src=\"https://raw.githubusercontent.com/pixano/pixano/main/docs/assets/pixano_wide.png\" alt=\"Pixano\" height=\"100\"/\u003e\n\n\u003cbr/\u003e\n\u003cbr/\u003e\n\n**Data-centric AI building blocks for computer vision applications**\n\n**_Under active development, subject to API change_**\n\n[![GitHub version](https://img.shields.io/github/v/release/pixano/pixano?label=release\u0026logo=github)](https://github.com/pixano/pixano/releases)\n[![PyPI version](https://img.shields.io/pypi/v/pixano?label=release\u0026logo=pypi\u0026logoColor=white)](https://pypi.org/project/pixano/)\n[![Docker](https://img.shields.io/docker/v/pixano/pixano?sort=semver\u0026label=release\u0026logo=docker\u0026logoColor=white)](https://hub.docker.com/r/pixano/pixano/)\n[![Coverage](https://img.shields.io/codecov/c/github/pixano/pixano/main?logo=codecov\u0026logoColor=white)](https://codecov.io/github/pixano/pixano)\n[![Tests](https://img.shields.io/github/actions/workflow/status/pixano/pixano/backend.yml?label=tests\u0026branch=main)](https://github.com/pixano/pixano/actions/workflows/backend.yml)\n[![Documentation](https://img.shields.io/website?url=https%3A%2F%2Fpixano.github.io%2F\u0026up_message=online\u0026down_message=offline\u0026label=docs)](https://pixano.github.io)\n[![Python version](https://img.shields.io/pypi/pyversions/pixano?color=blue\u0026logo=python\u0026logoColor=white)](https://www.python.org/downloads/)\n[![License](https://img.shields.io/badge/license-CeCILL--C-blue.svg)](LICENSE)\n\n\u003c/div\u003e\n\n\u003chr /\u003e\n\nPixano is an open-source tool by CEA List for exploring and annotating your dataset using AI features:\n\n- **Fast dataset navigation** using the the modern storage format _Lance_\n- **Multi-view datasets** support for _text_, _images_ and _videos_, and soon for _3D point clouds_\n- **Import and export** support for dataset formats like _COCO_\n- **Semantic search** using models like _CLIP_\n- **Smart segmentation** using models like _SAM_\n\n# Installing Pixano\n\nAs Pixano requires specific versions for its dependencies, we recommend creating a new Python virtual environment to install it.\n\nFor example, with \u003ca href=\"https://conda.io/projects/conda/en/latest/user-guide/install/index.html\" target=\"_blank\"\u003econda\u003c/a\u003e:\n\n```shell\nconda create -n pixano_env python=3.10\nconda activate pixano_env\n```\n\nThen, you can install the Pixano package inside that environment with pip:\n\n```shell\npip install pixano\n```\n\nPixano is also available on the [Docker Hub](https://hub.docker.com/r/pixano/pixano), you can also install it as follows:\n\n```shell\ndocker pull pixano/pixano:stable\n```\n\n# Using Pixano\n\nPlease refer to our \u003ca href=\"https://pixano.github.io/pixano/latest/getting_started/\" target=\"_blank\"\u003eGetting started\u003c/a\u003e guide for information on how to launch and use the Pixano app, and how to create and use Pixano datasets.\n\n# Contributing\n\nPlease refer to our [CONTRIBUTING.md](CONTRIBUTING.md) for information on running Pixano locally and guidelines on how to publish your contributions.\n\n# License\n\nPixano is licensed under the [CeCILL-C license](LICENSE).\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpixano%2Fpixano","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpixano%2Fpixano","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpixano%2Fpixano/lists"}