FiftyOne Labs

FiftyOne Labs brings research solutions and experimental features for machine learning.

Table of Features

This repository contains a curated collection of FiftyOne Labs Features which are developed using the FiftyOne plugins ecosystem. These features are organized into the following categories:

• Machine Learning Lab: core machine learning experimental features
• Visualization Lab: features for advanced visualization

Machine Learning Lab

Name	Description
@51labs/labs_panel	A panel listing all available Labs plugins
@51labs/video_apply_model	Apply image model to video dataset using torch dataloader
@51labs/few_shot_learning	Interactive few-shot learning with multiple model types
@51labs/box-combine	Weighted Box Fusion for detections
@51labs/zero-shot-coreset-selection	Zero-shot coreset selection (ZCore) for unlabeled image data
@51labs/click_segmentation	Interactive image segmentation via prompts

Visualization Lab

Name	Description
@51labs/viz_placeholder	Placeholder for visualization feature

Using Labs

Install FiftyOne

If you haven't already, install FiftyOne:

pip install fiftyone

Installing a Labs Feature

To install all the features in this repository, you can run:

fiftyone plugins download https://github.com/voxel51/fiftyone-labs

You can also install a specific plugin using the --plugin-names flag:

fiftyone plugins download \
    https://github.com/voxel51/fiftyone-labs \
    --plugin-names <name1> <name2> <name3>

Installing via Labs Panel

Labs Panel offers a convenient interface to install Labs features in the FiftyOne App. To get started, install the Labs Panel:

fiftyone plugins download \
    https://github.com/voxel51/fiftyone-labs \
    --plugin-names @51labs/labs_panel

Feedback

For questions, comments, and suggestions, head to the fiftyone-labs Discord Channel

Contributing

Check out the contributions guide for more information.