# FiftyOne Labs [FiftyOne Labs](https://github.com/voxel51/fiftyone-labs) brings research solutions and experimental features for machine learning. Here you’ll find cutting-edge experiments, novel workflows, and advanced capabilities built using the [FiftyOne plugins ecosystem](../plugins/index.md#plugins-ecosystem). Labs features are organized into two categories, machine learning experiments and advanced visualization tools, and are developed by the Voxel51 team.
Explore FiftyOne Labs on GitHub
Labs Panel ⭐ 13

by 51labs
panel listing all the available FiftyOne Labs features

ml,utils

Video Apply Model ⭐ 13

by 51labs
image model to video dataset using torch dataloader

ml,video

Few Shot Learning ⭐ 13

by 51labs
few-shot learning with multiple model types

ml,classification

Label Propagation ⭐ 13

by 51labs
Labels across frames of a video

ml,video,segmentation

Box Combine ⭐ 13

by 51labs
Boxes Fusion for detections

ml,detection

Click Segmentation ⭐ 13

by 51labs
image segmentation via prompts

ml,segmentation

Zero-shot-coreset-selection ⭐ 3

by 51labs
coreset selection (ZCore) for unlabeled image data

ml

#### NOTE FiftyOne Labs features are experimental and may change independently of FiftyOne core. Please review each feature’s documentation before use.