Microsoft silently dropped vision model Florence-2: A Breakthrough in Vision Foundation Models

Microsoft introduce Florence-2, a groundbreaking vision foundation model that uses a unified, prompt-based approach for a variety of computer vision and vision-language tasks. Unlike existing models, Florence-2 excels at handling diverse tasks with simple text instructions, thanks to its innovative design and extensive training on FLD-5B, a dataset with 5.4 billion annotations across 126 million images. This model sets new standards in zero-shot and fine-tuning capabilities, showcasing its prowess in tasks such as captioning, object detection, and segmentation. Discover more about Florence-2 and its revolutionary impact.