Welcome to the demo repoistory of an example workflow of MLflow integrated into the FiftyOne App!
The demo consists of two main parts:
-
The
mlflow_fiftyone_workflow.ipynbnotebook. It will guide you through an example workflow of training with YOLOv9 using FiftyOne, Ultralytics, and MLflow! -
The FiftyOne + MLflow plugin, a FiftyOne plugin that brings MLflow UI in the app as a panel, as well as track experiments and runs across your FiftyOne datasets as seen below!
Here are some helpful links to resources or tools used within the notebook.
- Find image quality issues
- Find exact and approximate duplicates
- Find outliers in your dataset
- Compare one model to another
Find all the other FiftyOne Plugins here!