Busabase
Busabase is an open-source (MIT) database and workspace for AI agents — data, docs, skills, and apps in one place. Run it locally, self-host it inside your network, or use Busabase Cloud, and turn age
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Refine high-quality datasets and visual AI models
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データTypeScript · PythonGitHub @voxel51自分でインストール所有者未確認
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The open-source tool for building high-quality datasets and computer vision
models
👋 hey there!
We created FiftyOne to supercharge your visual AI
development by enabling you to visualize and label your data, evaluate your
models, and maximize data and model quality more efficiently than ever before
🤝
If you're looking to scale to production-grade, collaborative, cloud-native
enterprise workloads, check out
FiftyOne Enterprise 🚀
FiftyOne supports Python 3.10 - 3.13.
For most users, we recommend installing the latest release version of FiftyOne
via pip as shown above.Read the full README ↗
The open-source tool for building high-quality datasets and computer vision models
Website • Docs • Try it Now • Getting Started Guides • Tutorials • Blog • Community
We created FiftyOne to supercharge your visual AI development by enabling you to visualize and label your data, evaluate your models, and maximize data and model quality more efficiently than ever before 🤝
If you're looking to scale to production-grade, collaborative, cloud-native enterprise workloads, check out Voxel51 🚀
As simple as:
pip install fiftyone
FiftyOne supports Python 3.10 - 3.13.
For most users, we recommend installing the latest release version of FiftyOne
via pip as shown above.
If you want to contribute to FiftyOne or install the latest development version, then you can also perform a source install.
See the prerequisites section for system-specific setup information.
We strongly recommend that you install FiftyOne in a virtual environment to maintain a clean workspace.
Consult the installation guide for troubleshooting and other information about getting up-and-running with FiftyOne.
Follow the instructions below to install FiftyOne from source and build the App.
You'll need the following tools installed:
corepack enableWe strongly recommend that you install FiftyOne in a virtual environment to maintain a clean workspace.
If you are working in Google Colab, skip to here.
First, clone the repository:
git clone https://github.com/voxel51/fiftyone
cd fiftyone
Then run the install script:
# Mac or Linux
bash install.sh
# Windows
.\install.bat
If you run into issues importing FiftyOne, you may need to add the path to the
cloned repository to your PYTHONPATH:
export PYTHONPATH=$PYTHONPATH:/path/to/fiftyone
Note that the install script adds to your nvm settings in your ~/.bashrc or
~/.bash_profile, which is needed for installing and building the App.
To upgrade an existing source installation to the bleeding edge, simply pull
the latest main branch and rerun the install script:
git checkout main
git pull
# Mac or Linux
bash install.sh
# Windows
.\install.bat
When you pull in new changes to the App, you will need to rebuild it, which you
can do either by rerunning the install script or just running yarn build in
the ./app directory.
If you would like to
contribute to FiftyOne,
you should perform a developer installation using the -d flag of the install
script:
# Mac or Linux
bash install.sh -d
# Windows
.\install.bat -d
Although not required, developers typically prefer to configure their FiftyOne installation to connect to a self-installed and managed instance of MongoDB, which you can do by following these simple steps.
You can install from source in Google Colab by running the following in a cell and then restarting the runtime:
%%shell
git clone --depth 1 https://github.com/voxel51/fiftyone.git
cd fiftyone
# Mac or Linux
bash install.sh
# Windows
.\install.bat
See the docs guide for information on building and contributing to the documentation.
You can uninstall FiftyOne as follows:
pip uninstall fiftyone fiftyone-brain fiftyone-db
Follow the instructions for your operating system or environment to perform basic system setup before installing FiftyOne.
If you're an experienced developer, you've likely already done this.
This is the beginning of the README. Read the rest at the original. Read the full README ↗