Contents

fiftyone 0.17.2

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FiftyOne: the open-source tool for building high-quality datasets and computer vision models

FiftyOne: the open-source tool for building high-quality datasets and computer vision models

Stars: 1907, Watchers: 1907, Forks: 227, Open Issues: 321

The voxel51/fiftyone repo was created 2 years ago and was last updated 2 hours ago.
The project is very popular with an impressive 1907 github stars!

How to Install fiftyone

You can install fiftyone using pip

pip install fiftyone

or add it to a project with poetry

poetry add fiftyone

Package Details

Author
Voxel51, Inc.
License
Apache
Homepage
https://github.com/voxel51/fiftyone
PyPi
https://pypi.org/project/fiftyone/
GitHub Repo
https://github.com/voxel51/fiftyone

Classifiers

  • Scientific/Engineering/Artificial Intelligence
  • Scientific/Engineering/Image Processing
  • Scientific/Engineering/Image Recognition
  • Scientific/Engineering/Information Analysis
  • Scientific/Engineering/Visualization
No  fiftyone  pypi packages just yet.

Errors

A list of common fiftyone errors.

Code Examples

Here are some fiftyone code examples and snippets.

GitHub Issues

The fiftyone package has 321 open issues on GitHub

  • [FR] Improve relationship loading logic when downloading Open Images V6
  • Update Dockerfile example
  • [FR] Add support for storing and rendering skeletons for keypoint fields
  • [BUG] App can't render samples with empty Keypoint data
  • [FR] Grid Zoom: Smallest images still too large
  • [BUG] Unable to donwload the mnist dataset
  • [BUG] Unable to download the cifar10 dataset
  • Adding support for saving plots as images
  • Label conversion utility improvements
  • [FR] Change order of precedence of zoom and frame scrubbing for videos
  • [FR] Add keyboard shortcut to hide all visible labels in the App
  • [BUG] Docs section highlight is not working
  • [FR] increase brightness
  • [BUG] Unable to download OpenImage Dataset
  • Adding support for populating query distances when sorting by similarity

See more issues on GitHub

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