voxel51/fiftyone
Refine high-quality datasets and visual AI models
From the publisher
README & documentation
Source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
The open-source tool for building high-quality datasets and computer vision models Website • Docs • Try it Now • Getting Started Guides • Tutorials • Blog • Community [](https://pypi.org/project/fiftyone) [](https://pypi.org/project/fiftyone) [](https://pepy.tech/project/fiftyone) [](https://hub.docker.com/r/voxel51/fiftyone/) [](LICENSE) [](https://discord.gg/fiftyone-community) [](https://huggingface.co/Voxel51) [](https://voxel51.com/blog) [](https://share.hsforms.com/1zpJ60ggaQtOoVeBqIZdaaA2ykyk) [](https://www.linkedin.com/company/voxel51) [](https://x.com/voxel51) [](https://medium.com/voxel51) 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: More details 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…
Read the full README ↗ · Preview checked 2026-10-28T19:28:04.966Z
Inside the original README — Document outline
- 👋 hey there!
- installation 💻
- Installation options
- Source installations
- Upgrading your source installation
- Rebuilding the App
- Developer installation
- Source installs in Google Colab
- Generating documentation
- Uninstallation
- System-specific setup
- 1. Install Python and other dependencies
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Documentation belongs to its respective authors. Reported project/model license: Apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
What this repository does
Refine high-quality datasets and visual AI models
Repository facts
- Owner
- voxel51
- Primary language
- TypeScript
- Stars
- 11,253
- Forks
- 842
- Open issues + pull requests
- 694
- License
- Apache-2.0
- Archived
- No
- Default branch
- main
- Created
- 2020-04-22T13:43:28.000Z
- Last push
- 2026-10-30T17:26:34.000Z
Topics and intended use
Owner-supplied topics: active-learning, artificial-intelligence, computer-vision, data-centric-ai, data-cleaning, data-curation, data-quality, data-science, deep-learning, developer-tools, image-classification, machine-learning, object-detection, python, unstructured-data, vector-search, visualization
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Source and freshness
Source: GitHub. Metadata observed 2026-10-31T13:20:02.570Z. Daily imports are snapshots, not real-time monitoring.
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