This is a major milestone for AI builders working with visual data. With over 2M installs, FiftyOne has been making life easier for developers and this new release takes it even further.
- Open source ML techniques: FiftyOne Brain ??, the core component of the FiftyOne ecosystem that implements the AI/ML capabilities that enable users to automatically analyze and manipulate their datasets and models, is now fully open source!
- Modal panels: we’ve introduced the ability to develop and use “micro” plugins that explore individual data samples and scenes, which complements FiftyOne’s existing support for custom “macro” plugins that explore entire datasets (example panels coming soon!)
- Change tracking: all FiftyOne datasets now have automatically populated created_at/last_modified_at fields on their samples, enhancing the capability of FiftyOne as a system of record for your visual AI data.
- Remote zoo models: FiftyOne now natively supports downloading and inferencing with custom models whose definitions are stored in GitHub, complementing the hundreds of natively available models and existing integrations with popular frameworks like Hugging Face Hub and Ultralytics.
- Remote zoo datasets: FiftyOne also now natively supports loading datasets whose download/preparation instructions are stored in GitHub, completing the dozens of natively available datasets and existing integrations with popular data standards.
- Added support for creating summary fields to optimize queries on large datasets with many objects #4765
- Added dozens of builtin operators for performing common operations directly from the App #4830
- Label overlays in the grid are now scaled proportionally to grid zoom #4747
Special thanks to these awesome community members for contributing to this release!
?? Check out the press release and the release notes of the release.
If you are in NYC on October 27th?
This is your chance to dive deep into cutting-edge technology, collaborate with like-minded individuals, and push the boundaries of what's possible.
At the hackathon, ML enthusiasts and college students alike will come together to tackle real-world challenges in the field. Participants can expect an immersive experience filled with learning, networking, and the opportunity to showcase their skills.
- ??? Tech Talks: Deep dive tech talks on Computer Vision and Data-Centric AI.
- ??? Hands-on Workshops: Learn how to build AI applications through code examples
- ??? Engaging Challenges: Tackle real-world problems with AI solutions.
- ??? Networking Opportunities: Connect with fellow developers, builders, and industry experts.
- ??? Exciting Prizes: Demo your projects and compete for cash prizes.
Registrations is mandatory. Sign up today to secure your spot!
Check out these upcoming AI, machine learning and computer vision events! View the full calendar and register for an event.
