What Is Dense Image Captioning?

Dense image captioning is a computer vision technique that focuses on creating detailed descriptions of specific regions within an image, as opposed to traditional image captioning, which describes the entire image. The process is typically executed by multimodal models, which can generate rich descriptions without needing explicit training for every class. Florence-2, a multimodal vision model from Microsoft Research, exemplifies this approach by providing dense captions that include localization information, allowing for deeper image understanding. Using Florence-2 involves installing necessary dependencies, loading the model, and running tasks to generate captions that identify and describe various image regions. This technique enables the examination of spatial relationships between objects in an image, enhancing the analytical capabilities of image processing tasks.