Each month, we publish a list of recent features and additions to the Roboflow suite of products. The previous month's update is here.
In May there has been a bevy of backend changes to support a huge user-facing release coming next month. The most noticeable updates this month were the launch of our OpenCV AI Kit integration and the addition of Classification dataset support in Roboflow Annotate.
- Backend refactor to support upcoming changes to team sharing
- Preparation for a major user-facing release scheduled for next month 🤐
- User testing and iterating on the new UI we launched last month
- Updated dependency versions to pull in upstream bug fixes
- Improved autoscaling and concurrency for higher model training throughput
- Added additional memory to support larger datasets
- Added support for training classification models (currently in pre-release with enterprise customers; contact sales if you want access to the beta)
- Added Luxonis OpenCV AI Kit devices as a deployment target
- Released new inference server Docker with support for more parameters from the remote inference API
- Unified class colors between annotation tool and prediction visualizations
- Updated to return predictions in order of confidence
- Refactored inference code to be shared across different model types
- Added support for editing classification labels
- Added 2 new team members, Robert and Mohamed.
- Opened job listings for a Head of Marketing, a UX Designer, and a Business Development Representative.
- Added a Search feature to the blog.
- Added a page detailing Roboflow Deploy.
- 17 bug fixes.
- 1 new public dataset (Drone Gesture Control dataset).
- 13 blog posts.
- 14 YouTube videos.
- 3 Roboflow live demo webinars.
- Hosted a panel discussion for the incoming S21 Y Combinator batch.
- Fun: had a team onsite in Des Moines.
- Featured in/at: Rackspace SOLVE, Yahoo! Finance, InnovationIOWA, 1 Million Cups Iowa City, a Taiwanese computer science curriculum
- User projects: gesture-controlled drone, finding plastic in the ocean, synthetic data for package detection, detecting Leukemia in blood cells, recognizing defects in 3d printed parts, oil and gas risk avoidance.