Captioning Model

Image captioning models automatically generate textual descriptions of images or videos, aiming to accurately and comprehensively convey visual content. Current research emphasizes improving caption quality through techniques like reinforcement learning, leveraging large language models (LLMs) for contextualization and improved evaluation, and developing models capable of handling diverse data types such as live video streams and compressed video formats. These advancements have significant implications for various applications, including journalism, retail analytics, accessibility tools for the visually impaired, and enhancing the performance of other AI systems that rely on visual understanding.