Roboflow Changelog: November 2021

It's been a whirlwind of a month at Roboflow with lots of changes, updates, and expansion going on behind the scenes. Each month, we share a recap of product and company updates. If you missed last month's edition of the Roboflow Changelog, you can find it here.

Roboflow Organize

• Released "Isolate Objects" preprocessing step to extract bounding boxes from object detection datasets for use in single-class classification
• Added ability to add image annotations via REST API
• Improved Scale.ai annotation support
• Added a global in-app announcement ability

Roboflow Train and Deploy

• Launched Enterprise GPU (opens in a new tab) accelerated inference container
• Added image resize to sample web app code
• Improved inference usage logs and reporting
• Created offline mode example repo (opens in a new tab)
• Introduced inference server benchmark repo (opens in a new tab)
• Version controlled docs

Roboflow Universe (opens in a new tab)

• Improved tooling for finding and featuring projects
• Speed improvements across the backend infrastructure
• Highlighted 16 new projects (opens in a new tab)

Other

• Doubled the size of the team (come help us democratize computer vision!)
• Had full-team on-site in Phoenix, AZ
• Updated all training notebooks (opens in a new tab) to use our PIP package & API
• Refactored blog theme
• 20 bug fixes
• 9 blog posts
• 6 YouTube videos (opens in a new tab)
• Presentations: Kimo CV (opens in a new tab)
• Featured in/at: MarketWatch (opens in a new tab), Yahoo News (opens in a new tab), The Tech Tribune (opens in a new tab)
• User projects: coral reef restoration, football analysis, mold detection (opens in a new tab), environment exploration (opens in a new tab), plastic waste sorting (opens in a new tab), object tracking (opens in a new tab), hydroponic farming (opens in a new tab), face detection (opens in a new tab), drone robotics challenge (opens in a new tab), plant breeding (opens in a new tab), self driving car (opens in a new tab)