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The Greatest Hits of 2022: FiftyOne & Voxel51

Now that a new year has started, it’s a great opportunity to look back at a selection of the greatest moments from last year for FiftyOne, the open source computer vision toolset, and Voxel51, the company behind FiftyOne. Read on to see some of our biggest moments from 2022 and catch up on interesting news and topics you may have missed!

TL;DR

Our Commitment to Open Source and Community

At Voxel51, open source, transparency, and giving back to the computer vision community are what we are all about. Whether it’s developing the open source FiftyOne computer vision toolset that helps tens of thousands of engineers and scientists with their ML workflows, 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.

The FiftyOne Community Keeps Growing!

2022 was a good year for the continued growth of the FiftyOne community. We are so thankful for all the community momentum, participation, and contributions. Here are the end-of-the-year 2022 highlights:

In addition, another big highlight of the year: we were recognized as one of the fastest growing open source startups by Runa Capital!

FiftyOne Community Rewards

One of our favorite highlights last year was recognizing and rewarding community efforts and achievements. In November ’22 we launched the open source FiftyOne Community Rewards program. In just two months, we rewarded 20+ community members around the world for helping others in Slack, filing GitHub issues, speaking at Computer Vision Meetups, and sharing their success stories.

If you would like to claim some FiftyOne swag for yourself, reach out to us on the FiftyOne Community Rewards page to get the conversation started.

community rewards swag collage

Computer Vision Meetups

In November ’22 we held the first ever Computer Vision Meetup! Voxel51 sponsors a network of a dozen Computer Vision Meetups around the world. These 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. Here are the highlights from 2022 and a glimpse at what’s to come in 2023.

2022 Computer Vision Meetup Highlights

November ‘22

  • Talk #1 — Sri Anumakonda // Autonomous Vehicles with End2end
  • Talk #2 — Tarik Hammadou, NVIDIA // Retail Supply Chain & Computer Vision
  • Get the recap with playbacks, slides, Q&A recap, and more

December ‘22

  • Talk #1 — Kris Kitani, Carnegie Mellon University // Wearable Vision Sensors
  • Talk #2 — Anna Petrovicheva, CEO at CVAT.ai and CTO at OpenCV.ai // The Future of Data Annotation: Trends, Problems & Solutions
  • Talk #3 — Kacper Łukawski, Qdrant // Using Similarity Learning to Improve Data Quality
  • Get the recap with playbacks, slides, Q&A recap, and more

Upcoming 2023 Computer Vision Meetups

January 12, 2023 (this week!)

  • Hyperparameter Scheduling for Computer Vision — Cameron Wolfe (Alegion/Rice University)
  • An introduction to computer vision with Hugging Face transformers — Julien Simon (Hugging Face)
  • Zoom Link

February 9, 2023

  • Breaking the Bottleneck of AI Deployment at the Edge with OpenVINO — Paula Ramos, PhD (Intel)
  • Understanding Speech Recognition with OpenAI’s Whisper Model — Vishal Rajput (AI-Vision Engineer)
  • Zoom Link

March 9, 2023

  • Lighting up Images in the Deep Learning Era — Soumik Rakshit, ML Engineer (Weights & Biases)
  • Training and Fine Tuning Vision Transformers Efficiently with Colossal AI — Sumanth P (ML Engineer)
  • Zoom Link

Hope to see you at the upcoming Meetup events!

Computer Vision Meetup network, sponsored by Voxel51

Celebrating Community & Customer Success

Our enterprise customers and open source community continued to soar in 2022! We heard from many of you about the successes you’re having with FiftyOne (the open source toolset for building high-quality computer vision datasets and machine learning models) and FiftyOne Teams (built on FiftyOne with additional features that enable multiple users to securely collaborate on the same datasets and models). Nothing makes us happier than hearing how the software we build helps you solve challenges and reach new heights! Here are just a few highlights from what people had to say.

FiftyOne Open Source

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

We’ve been using FiftyOne for over a year and it has drastically changed the way we work. The ability to easily display and analyze our images and their metadata, including experiment results, has been a refreshing change compared to the way we’ve worked before — mainly writing our own metrics and viewers. I’ve personally used FiftyOne for a segmentation model I’ve trained — trying to analyze the results and visually see what my model outputs has been really easy and fluid thanks to FiftyOne.

— Ido Greenfeld, AI Team Lead, Taranis

FiftyOne provides a superior interface for dealing with computer vision data. Its extensive Python package lets you do almost any data transformation, perform similarity search, and easily evaluate model predictions.

— Rustem Galiullin, Data Scientist, G42

FiftyOne Teams

We’ve used FiftyOne Teams at ADT Commercial for a year now. It has helped us manage our huge datasets, collaborate on model evaluation, tighten our production schedule, and ultimately deliver solutions that help our customers better manage their risk. FiftyOne Teams has added tremendous value to our computer vision processes.

— Philippe Sawaya, Director of Artificial Intelligence, ADT Commercial

We have seen performance improvements in our models directly due to using FiftyOne Teams for dataset management. FiftyOne Teams has greatly improved the visibility of our datasets across our entire R&D team, and it has made it extremely easy for multiple team members to access and collaborate on datasets.

— Ivan Ralašić, CTO and co-founder of Forsight

We use FiftyOne Teams to organize, select, display, and share our data which has led to better collaboration with and understanding of our large volume of data. FiftyOne Teams enables us to gain insights such as identifying and understanding data problems early, hypothesis validation, and dataset management overall. This has led to better solution engineering and better testing for the products and services we deliver to our customers.

— Lanny Lin, Senior Director of AI and Data Science, Vivint

Share Your Story!

We’d love to hear about your successes! Simply reach out to us on the FiftyOne Community Rewards page, or work with your Voxel51 customer success manager to get the process started.

New Products to Unlock Unprecedented Data Transparency

At Voxel51, our mission is to bring transparency and clarity to the world’s data. Why are we doing this? We believe that the biggest challenge you have in getting your computer vision models into production today is not the model architecture, it’s the quality of your data. Therefore, we came together as a company 4+ years ago to make it easy to improve the quality of your data (and therefore models) and to bring data-centric machine learning to the world.

With that, here are some product highlights from 2022 to help you gain unprecedented transparency into your computer vision data (images, videos, 3D, and geolocation).

FiftyOne Open Source

We released 15 versions of open source FiftyOne in 2022! Although each release delivered a number of powerful community-driven features, here are some of the top highlights:

  • Labelbox was added as an official annotation integration (adding to integrations with CVAT and Label Studio)
  • With support from the ActivityNet team, FiftyOne became a recommended tool for downloading, visualizing, and evaluating on the ActivityNet dataset
  • FiftyOne gained support for grouped datasets, along with support for 3D data and geolocation data
  • FiftyOne added support for a plugin system that you can use to customize and extend the App’s behavior (custom plugins)
  • We released the ability to declare custom attributes on your label fields (or, in general, any embedded field) and filter by them in the FiftyOne App
  • Plus, with the help and support of the broader FiftyOne community, we added many more enhancements to the FiftyOne App and core library, new documentation, new integrations, new datasets in the FiftyOne Dataset Zoo, and new models in the FiftyOne Model Zoo

Open source software like this doesn’t happen without the support of an awesome community, so thank you to everyone who helped make all of this possible!

FiftyOne Teams

Originally introduced to a group of organizations in a private beta in late 2021, in September 2022 we publicly announced the launch of FiftyOne Teams.

Built on top of open source FiftyOne, FiftyOne Teams inherits all the goodness of the open source project and adds collaborative features for teams, including cloud-backed media, dataset permissions, versioning, sharing, and more.

Our enterprise customers span a variety of industries — automotive, robotics, security, retail, healthcare, agriculture, and more. We absolutely love seeing all the ways our customers are using FiftyOne Teams to power some of today’s most remarkable machine learning and artificial intelligence.

Thank you to all our customers for your feedback and support! If you’re new to FiftyOne Teams and would like to find out more about it, simply reach out and we’ll set up a consultation and technical demo.

Top Blogs You Won’t Want to Miss from 2022

Here’s a look back over our most popular and influential blog posts of 2022, in case you missed them or would like to revisit the topics:

We Are Hiring — Join Us!

Voxel51 is growing quickly and we are looking for people to grow with us. Join our team to be a part of the ground level innovation in data-centric ML. Voxel51 team members are fueled by learning, adapt quickly to face new challenges, and aim to shatter the status quo.

A sample of our open, remote positions:

  • Account Executive
  • Graphic Designer
  • Machine Learning Customer Success Engineer
  • Machine Learning Developer Evangelist
  • Product Manager
  • Software Engineer
  • Tech Lead
  • VP of Product

What’s Next?