Explore the capabilities of Florence-2, a new Vision Language Model (VLM) with a dataset of 5 billion labels, in this informative video. Learn about its architecture and various functionalities, including detailed image captioning, visual grounding, dense region captioning, and open vocabulary detection. Watch demonstrations of the model's performance using Hugging Face Spaces and examine sample usage in a Colab notebook. Gain insights into how Florence-2 combines traditional computer vision tasks with modern LLM-style captioning, potentially revolutionizing the field of visual AI.