Roboflow Changelog: February 2021

In February 2021, Roboflow introduced several new features and enhancements across its platform, focusing on areas such as collaboration, data management, and model training. Key updates included the launch of transfer learning and Label Assist, which allows model-assisted labeling using Roboflow Train models. The company expanded team collaboration capabilities by allowing up to three people on the Starter Plan to work together for free and promoted the Upload API to general availability. Other enhancements included support for new data import formats, an object count histogram for dataset health, and improvements to the training process, such as integrating COCO weights for transfer learning and enabling automatic credit reloads for Pro subscriptions. Roboflow also introduced new demo features and reduced the download size of weights files. Additionally, the company announced its seed funding round, launched a new homepage, added OpenAI's CLIP to its model library, and released new public datasets and annotation formats. The platform's updates were complemented by increased media coverage and a variety of user projects leveraging its technology.