The Voxel51 engineering team is thrilled to announce the general availability of
FiftyOneOne 0.23.3 and
FiftyOne Teams 1.5.4, which bring with them dozens of enhancements and fixes to streamline your computer vision workflows.
tl;dr
In a nutshell, here’s what’s new:
- Monocular depth estimation tutorial
- API optimization
- set_values()
- Optimized cloud media export
This pair of releases include 30+ new features and fixes. Read on to learn more.
Wait, what’s FiftyOne?
FiftyOne is the 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.
Okay, but what’s FiftyOne Teams?
FiftyOne Teams extends FiftyOne with a GSuite-like experience for teams that want to collaborate on data stored in a centralized location with additional features like user permissions, dataset versioning, cloud-backed media, and enterprise security.
If this sounds interesting, read on! Then
schedule a demo to learn more about FiftyOne Teams.
What’s new in FiftyOne 0.23.3
This release includes the following updates:
News
App
Brain
Core
Models
Plugins
Tutorials
What’s new in FiftyOne Teams 1.5.4
General
Bugs
Check out the
release notes for a full rundown of additional enhancements and bugfixes in FiftyOne Teams 1.5.4.
Get involved in the FiftyOne open source community!
If you are working on computer vision use cases and unstructured data, the FiftyOne community is for you. There are tons of ways to get involved, for example:
FiftyOne Community Slack
With over 2,000 members, the community Slack channel is a great place to interact with the FiftyOne developers and exchange solutions with machine learning engineers doing computer vision in production.
To make it easy to catch the highlights, every Friday we recap interesting questions and answers from Slack in our
Tips & Tricks blog series. Check out almost 300 tips and tricks in the archives like:
- 3D Detections – FiftyOne Tips and Tricks
- Exploring Polylines – FiftyOne Tips and Tricks
- Creating Pose Skeletons from Scratch – FiftyOne Tips and Tricks
- Dynamic Groups – FiftyOne Tips and Tricks
- Understanding Grouped Datasets
Computer Vision and AI, Machine Learning, and Data Science Meetups
The 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. Our next Meetup is happening this Thursday:
- Lightning Talk: Next-Generation Image/Video editor Built with Generative AI –
- SANPO: A Scene Understanding, Accessibility, Navigation, Pathfinding, Obstacle Avoidance Dataset –
- Setmlvis: Object Detection Comparison Using Set Visualization –
- How well does the Segment Anything Model work on a Fisheye lens? –
FiftyOne on GitHub
If you want to start contributing to the FiftyOne project resolving issues, reporting bugs or making enhancements to the Docs, check out these resources:
Industry Spotlight: Computer Vision in Sports
Check out the fourth installment of Voxel51’s computer vision industry spotlight blog series. In this series, we highlight how different industries — from construction to climate tech, from retail to robotics, and more — are using computer vision, machine learning, and artificial intelligence to drive innovation. We’ll dive deep into the main computer vision tasks being put to use, current and future challenges, and companies at the forefront.
