Launch: Deploy Florence-2 with Roboflow

Florence-2, developed by Microsoft Research and licensed under MIT, is a versatile multimodal vision model capable of tasks such as dense captioning, optical character recognition, and object detection. The guide details the process of deploying fine-tuned Florence-2 models using Roboflow, an open-source computer vision inference server. Users can create a Roboflow account to initiate projects, upload and annotate training data, generate dataset versions with preprocessing and augmentation, and fine-tune the Florence-2 model on custom datasets. The fine-tuned model weights can then be uploaded to Roboflow and deployed using either Docker as a microservice or through the Python SDK, allowing for integration into various devices. The guide also provides code snippets to facilitate model training and deployment, emphasizing the model's adaptability and the convenience offered by Roboflow's tools.