Welcome to the monthly blog series where we bring you up to speed on recent happenings in the FiftyOne community and celebrate noteworthy milestones. 🙌 🚀
We love hearing how FiftyOne helps you solve challenges and reach new heights! Here’s a highlight from the community.
Shout out to our friends at Kitro who use the open source FiftyOne computer vision toolkit as a key ingredient in developing ML models and curating datasets for training.
Kitro is a Swiss company on a mission to harness the power of technology and use it for sustainable change. With artificial intelligence as the foundation, Kitro offers an automated food waste data collection and analysis solution that can be adopted by food and beverage outlets worldwide.
As Head of Machine Learning, Luka Posilović puts it, “FiftyOne is a key ingredient for Kitro in developing ML models and curating dataset for training our models. We use it extensively for data curation and it helps us a lot in investigating the mistakes our pipeline makes. The similarity search feature and looking at the data from the embedding view has helped us make changes in the dataset we couldn’t otherwise see. We are also more and more integrating FiftyOne in the automated models testing. It’s really a “Swiss army knife” for working with data.”
Visit Kitro to learn more about their innovative work: https://www.kitro.ch/
You can also dive into how Kitro uses AI to perform food classification at this month’s AI, Machine Learning and Data Science Meetup on Feb 15.
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!
In January 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
January’s releases brought two new exciting features!
Hugging Face integration
FiftyOne now integrates natively with Hugging Face’s Transformers library, so you can load, fine-tune, and run inference with your favorite Transformers models on your FiftyOne datasets with just a few lines of code! Check out the Docs to learn more.
FiftyOne now integrates natively with Deci AI’s SuperGradients library, so you can run inference with YOLO-NAS architectures on your FiftyOne datasets with just a few lines of code! Check out the Docs to learn more.
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: 6,400+
- Total contributors: 86
- Total used by: 471
- Total forks: 459
- Total issues closed so far: 980
FiftyOne Community Slack
The FiftyOne Community Slack channel is where you can join more than 2,200 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:
- FiftyOne Computer Vision Tips and Tricks – Nov 24, 2023
- FiftyOne Plugins Tips and Tricks – November 22, 2023
- FiftyOne Computer Vision Tips and Tricks – Nov 17, 2023
- FiftyOne Computer Vision Tips and Tricks – Nov 10, 2023
- FiftyOne Computer Vision Tips and Tricks – Nov 3, 2023
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:
Feb 15 Computer Vision Meetup
- Next Generation Video Understanding – James Le at Twelve Labs
- Towards Fair Computer Vision: Discover the Hidden Biases of an Image Classifier – Chenliang Xu at University of Rochester
- Food Waste Classification with AI – Luka Posilović, PhD at KITRO
- Objects and Image Geo-localization from Visual Data – Safwan Wshah at University of Vermont
Register for the Zoom here.
Recapping Previous Meetups
If you missed any of last month’s Meetup, 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:
- Feb 15 – Build Better Multimodal RAG Pipelines with FiftyOne, LlamaIndex, and Milvus
- Feb 21 – FiftyOne Plugins Workshop
- Feb 28 – Getting Started with FiftyOne Workshop
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.
- How to Visualize Your Data with Dimension Reduction Techniques
- Video Understanding with FiftyOne and Steamboat Willie
- How Computer Vision Is Changing Sports
- How to Build a Semantic Search Engine for Emojis
- Why 2023 was the most exciting year in computer vision history (so far)
- Finding Annotation Mistakes in the BDD100k Dataset
- Vector Search with Computer Vision Data Using FiftyOne
- FiftyOne Plugins Workshop
- Curation and Evaluation with the Multi Object Tracking Dataset and FiftyOne
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.