Roboflow Changelog: February 2022

In February 2022, Roboflow achieved significant advancements across its product lines, focusing on enhancing collaborative workflows, improving model training options, and streamlining user experiences. Key improvements included polishing the collaborative annotation workflow, enabling annotation via API, and releasing an optimized model for Roboflow Train that allows users to prioritize either speed or accuracy. The company also enhanced loading speeds in Roboflow Universe and improved its server benchmark repository for dataset loading. Additionally, Roboflow launched a forum for discussions on computer vision, conducted strategic planning in Minneapolis, and expanded its team by adding new members and opening positions in marketing and engineering. The company made strides in its internal processes, fixing numerous bugs and creating new projects, and was featured in various publications and platforms. User projects covered diverse applications, from detecting and counting bacteria to industrial facility surveillance, showcasing the broad potential of Roboflow’s tools in advancing computer vision technology.