The open-source tool for building high-quality datasets and computer vision models
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The open-source tool for building high-quality datasets and computer vision models
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Nothing hinders the success of machine learning systems more than poor quality data. And without the right tools, improving a model can be time-consuming and inefficient.
FiftyOne supercharges your machine learning workflows by enabling you to visualize datasets and interpret models faster and more effectively.
Use FiftyOne to get hands-on with your data, including visualizing complex labels, evaluating your models, exploring scenarios of interest, identifying failure modes, finding annotation mistakes, and much more!
You can get involved by joining our Discord community, reading our blog on Medium, and following us on social media:
$ docker run -d -p 5151:5151 --name fiftyone voxel51/fiftyone
... to run the fiftyone:latest image with Python 3.11. Please see the list above for alternative tags.
Connect to http://localhost:5151 using your browser to see your running FiftyOne instance.
To add datasets using python:
$ docker exec -it fiftyone ipython
$ docker run -p 5151:5151 --name fiftyone -v some-local-directory:/fiftyone voxel51/fiftyone
...where some-local-directory is a local directory where you would like FiftyOne DB and datasets to be stored. This will run the voxel51/fiftyone:latest image with Python 3.11. Please see the list above for alternative tags.
docker compose or docker stack deployExample compose.yaml for fiftyone:
services:
fiftyone:
command: ["python", "-m", "fiftyone.server.main", "--port", "5151"]
environment:
FIFTYONE_DEFAULT_APP_ADDRESS: 0.0.0.0
image: voxel51/fiftyone:latest
ports:
- 5151:5151
volumes:
- type: bind
source: some-local-directory
target: /fiftyone
...where some-local-directory is a local directory where you would like FiftyOne DB and datasets to be stored. This will run the voxel51/fiftyone:latest image with Python 3.11. Please see the list above for alternative tags.
Content type
Image
Digest
sha256:378e6bae2…
Size
511.4 MB
Last updated
3 days ago
Requires Docker Desktop 4.37.1 or later.