Welcome to our weekly FiftyOne tips and tricks blog where we cover interesting workflows and features of FiftyOne! This week, we’ll be exploring FiftyOne’s Command Line Interface.

FiftyOne is an open source machine learning toolset that enables data science teams to improve the performance of their computer vision models by helping them curate high quality datasets, evaluate models, find mistakes, visualize embeddings, and get to production faster.

Ok, let’s dive into this week’s tips and tricks! Also feel free to follow along in our notebook or on YouTube!

Leveraging CLI commands can be a powerful way to streamline your workflow. We will do a quick dive on some powerful options FiftyOne provides that can save you time on your next computer vision project. Let's take a look.

To start, let’s first turn on auto completion in the terminal. To complete any FiftyOne command just tab to see all your options. For bash, enter the command below. If you use a different terminal type, look here.

Sometimes, you just want to find out which datasets you have on the fly. The CLI offers the fiftyone datasets list command to show all your currently available datasets. It is easy for you to now know which can be loaded into the App, double check any spellings, or check if it is time to clean up some of those old datasets!

We’ve all been there. That giant dataset you meant to delete a year ago is still sitting on your machine, hiding behind hundreds of other files. With the CLI, we can sort our datasets by their creation date and delete the ones we don't need anymore. Let’s see how:

In our example, the evaluate-detections-tutorial dataset is past its time and is ready to be deleted. Let's remove it with the following:

Another common use case you can find yourself in is quickly needing to grab some basic information about your datasets. No need to boot up the App or open up the Python kernel, quick information can be grabbed straight from the CLI. Here are two quick examples:

FiftyOne makes it incredibly easy to visualize and inspect predictions that are added to the dataset. If you have a dataset where you are really proud of your predictions, or maybe a prediction that needs to be sent to another data science team, samples can be exported with their drawn on labels. It is easy and seamless to perform this with the CLI, all you need is the name of the dataset and label field!

Plugins are a hot topic in the FiftyOne universe. With the ability to extend the FiftyOne App’s capabilities with easy to write Python code, the possibilities with FIftyOne Plugins are endless! Check out the AI Art Gallery, VoxelGPT, or the Plugins Repo! Let’s explore the Plugins CLI:

Keep an eye out for more exciting plugin content as we kick off our 10 Weeks of Plugins! Hopefully, these tips will help you speed up your workflows and create a better computer vision experience on your next project! Good Luck!

To learn more about the FiftyOne CLI head over to our CLI Docs for more information!

Join the thousands of engineers and data scientists already using FiftyOne to solve some of the most challenging problems in computer vision today!