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 are just a few highlights from what people in the community have to say.
Qinecsa is a leading provider of technology-led, end-to-end pharmacovigilance solutions and is a trusted partner to global life science companies. Qinesca brings together best-in-class technology and scientific expertise to connect life science companies to the right safety solutions.
“Qinesca’s Pv-trace project assists with object tracking inside warehouses. FiftyOne is used to create annotations of boxes and build models for edge devices.”
— Bhageeratha Tanedar, IT Analyst
Taranis crop intelligence solutions use deep agronomic expertise and the most advanced AI and submillimeter image technologies to automatically detect crop threats and provide farmers with leaf-level insights. Taranis serves more than 100 agribusinesses, thousands of farmers, and millions of acres around the world, and is growing rapidly.
“FiftyOne has been super effective in helping me to quickly understand the issues in my datasets, models, and latent representations.”
— Dan Erez, AI Tech Lead
Community Rewards
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
Last week we released FiftyOne v0.21.1.1 to augment the recent FiftyOne 0.21 release which featured the introduction of operators, dynamic groups, and custom color schemes. v0.21.1 contains 20+ enhancements and fixes. This point release includes several App optimizations, including filtering with indexes.
Community Contributions
A quick shoutout to the following community members who contributed to the FiftyOne project with the v0.21.1 release.
- “Only match .txt files when reading YOLO labels” by @democat3457 in #3127
- “Replace set with addFields in aggregations py” by @AaronDou in #3111
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: 3,800+
- Total contributors: 63
- Total used by: 328
- Total forks: 371
- Total issues closed so far: 814
FiftyOne Community Slack
The FiftyOne Community Slack channel is where you can join more than 1,800 machine learning engineers and data scientists using FiftyOne to improve the quality of their computer vision data and build better models. Last month alone we had almost 150 new members join. 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 – June 16
- FiftyOne Computer Vision Tips and Tricks – June 2
- FiftyOne Computer Vision Embeddings Tips and Tricks – May 26
- FiftyOne Computer Vision Tips and Tricks – May 19
Computer Vision Meetups
Voxel51 sponsors 13 virtual Computer Vision Meetups around the world. (To join, visit the Meetup link 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:
July ’23 Computer Vision Meetup (Americas and EU)
- July 13, 10AM PDT (1:00PM EDT)
- Unleashing the Potential of Visual Data: Vector Databases in Computer Vision – Filip Haltmayer (Zilliz)
- Computer Vision Applications at Scale with Vector Databases – Zain Hasan (Weaviate)
- Reverse Image Search for Ecommerce Without Going Crazy – Kacper Łukawski (Qdrant)
- Fast and Flexible Data Discovery & Mining for Computer Vision at Petabyte Scale – Jai Chopra (LanceDB)
- How to Build Scalable Image and Text Search for Computer Vision Data Using Pinecone & Qdrant – Jacob Marks (Voxel51)
- Register for the Zoom
July ’23 Computer Vision Meetup (APAC)
- July 20, 2023 – 10AM IST / 04:30 UTC
- MARLIN: Masked Autoencoder for facial video Representation LearnINg – Zhixi Cai (Monash University)
- Unleashing the Potential of Visual Data: Vector Databases in Computer Vision – Filip Haltmayer (Zilliz)
- Register for the Zoom
Recapping June’s Meetups
If you missed the last Meetup, make sure to check out the recap blog and watch the playbacks!
- Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation
- Re-Annotating MS COCO, an Exploration of Pixel Tolerance
- Redefining State-of-the-Art with YOLOv5 and YOLOv8
Upcoming Computer Vision Events
In addition to meetups, we invite you to join us for one or more of these upcoming events:
- July 26 – Getting Started with FiftyOne Workshop (Americas & EMEA)
- Aug 24 – Computer Vision Meetup (APAC)
- Aug 30 – Getting Started with FiftyOne Workshop (Americas)
- Sept 14 – Computer Vision Meetup (Americas & EMEA)
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.
Blogs
- VoxelGPT: Your AI Assistant for Computer Vision
- Announcing FiftyOne 0.21 with Operators, Dynamic Groups, and Custom Color Schemes
- Conquering ControlNet
- How to Get the Most out of CVPR
- Visualizing the Datasets at CVPR 2023!
- Webinar Recap: Introducing VoxelGPT and Building Custom Plugins
- Too Many Pixels, So Little Time: Why You Need Data-Centric Tooling in Your AI Stack
Videos
- Introducing VoxelGPT & Building Custom FiftyOne Plugins
- Use VoxelGPT to get answers to complex computer vision and machine learning questions
- Use VoxelGPT to generate insightful views about your computer vision data
- Use VoxelGPT to search FiftyOne Docs, tutorials and user guides
- Use VoxelGPT to explore, curate and discover insights about your data
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.
