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FiftyOne Computer Vision Community Update – October 2023

Welcome to the monthly blog series where we bring you up to speed on recent happenings in the FiftyOne community and celebrate noteworthy milestones. 🙌 🚀

Community Spotlights

We love hearing how FiftyOne helps you solve challenges and reach new heights! Curious what sorts of use cases are possible with FiftyOne? Here’s a highlight from the open source FiftyOne community.

Protex AI’s AI-powered technology enables businesses to gain greater visibility of unsafe behaviors in their facilities. The privacy-preserving platform plugs into existing CCTV infrastructure and uses its computer vision technologies to capture unsafe events autonomously in settings such as warehouses, manufacturing facilities, and ports.

“At Protex AI we develop a platform to monitor worker health and safety using existing CCTV infrastructure. Our core computer vision technologies are object detection, classification, and pose estimation. We use FiftyOne as a vital component in our pipeline to validate dataset annotations, intelligently subsample datasets to ensure balance, and also to visualize and debug model predictions to assess accuracy.”

—  Patrick Rowsome — Lead Computer Vision Engineer, Protex AI 

Community Rewards

community rewards swag collage

Is your organization using FiftyOne to solve interesting computer vision problems? Share your success story and claim a box of community rewards as a thank you!

Product Releases

In September there were a few point releases to both the open source and Teams versions of FiftyOne. Here are the links to the releases learn more:

Open Source FiftyOne

FiftyOne Teams

What’s new?

September’s releases brought us three big exciting features!

Dataset versioning

Dataset versioning in FiftyOne Teams allows you to track the lineage of your data, view the exact version of a dataset on which a given model was trained, protect against accidental data modification, and much more. With dataset versioning, you can trust FiftyOne Teams as the single source of truth for your organization’s data.

Native Ultralytics integration

FiftyOne now includes a native Ultralytics integration, making it easy to train the latest Ultralytics models like YOLOv8 on your FiftyOne datasets with just a few simple lines of code.

Delegated operations

Last month’s FiftyOne Teams also added a powerful new Delegated Operations feature to FiftyOne’s Plugin framework that allows you to schedule builtin and/or custom tasks from within the App that are executed on a connected workflow orchestrator like Apache Airflow.

Why is this awesome? Your AI stack needs a flexible data-centric component that enables you to organize and compute on your data. With Delegated Operations, FiftyOne becomes both a dataset management/visualization tool and a workflow automation tool that defines how your data-centric workflows like ingestion, curation, and evaluation are performed. In short, think of FiftyOne Teams as the single source of truth on which you co-develop your data and models together.

FiftyOne on GitHub

GitHub is home to the open source FiftyOne project. Here’s the latest snapshot of what’s happening in the FiftyOne GitHub repo:

  • Total stars: 5,000+
  • Total contributors: 74
  • Total used by: 395
  • Total forks: 424
  • Total issues closed so far: 886

FiftyOne Community Slack

The FiftyOne Community Slack channel is where you can join more than 2,100 machine learning engineers and data scientists using FiftyOne to improve the quality of their computer vision data and build better models. Ask questions, answer questions, or simply follow along with the discussion!

To make it easy to catch the highlights, every Friday we recap interesting questions and answers from Slack in Tips & Tricks blog series. Recent posts include:

Computer Vision Meetups

Voxel51 sponsors 13 virtual Computer Vision Meetups and 12 AI, Machine Learning and Data Science Meetups around the world. (To join, visit the Meetup links and scroll down to find the location friendliest to your time zone.)

The Computer Vision Meetups are geared towards data scientists, machine learning engineers, and open source enthusiasts who want to expand their knowledge of computer vision and complementary technologies. We put an emphasis on open source software, and speakers who are computer vision practitioners or academics doing research in the field. This month’s Meetups include:

Oct 12 Computer Vision Meetup

  • Bridging the Gap: Advancing Civil Engineering Inspections with Computer Vision – Johannes Flotzinger, Civil Engineer & Research
assistant at Universität der Bundeswehr München
  • Adapting to Change: Foundation Models, APIs, and the Past, Present and Future of AI Development – Pietro Bolcato at Kittl

Recapping Previous Meetups

If you missed any of last month’s Meetups, you can get the executive summaries and links to the video playbacks here:

Upcoming Computer Vision Events

In addition to Meetups, we invite you to join us for one or more of these upcoming events:

New Docs, Blogs, Videos, and Tutorials

We want everyone to be successful with FiftyOne, and one of the ways we try to do that is by publishing resources that you might find helpful and handy. Here’s a list of some of the new documentation, blogs, videos, tutorials, integrations, and cheat sheets that you may want to check out.



Voxel51’s Commitment to Open Source and Community

Open source, transparency, and giving back to the computer vision community is what we are all about! Whether it’s developing the open source FiftyOne computer vision toolset to help engineers and data scientists build high-quality datasets and models, sponsoring Meetups to help members boost their computer vision knowledge, or giving to charitable causes on behalf of the community, Voxel51 is committed to bringing transparency and clarity to the world’s data.