  Image captioning strives to generate pertinent captions for specified images,
situating itself at the crossroads of Computer Vision (CV) and Natural Language
Processing (NLP). This endeavor is of paramount importance with far-reaching
applications in recommendation systems, news outlets, social media, and beyond.
Particularly within the realm of news reporting, captions are expected to
encompass detailed information, such as the identities of celebrities captured
in the images. However, much of the existing body of work primarily centers
around understanding scenes and actions. In this paper, we explore the realm of
image captioning specifically tailored for celebrity photographs, illustrating
its broad potential for enhancing news industry practices. This exploration
aims to augment automated news content generation, thereby facilitating a more
nuanced dissemination of information. Our endeavor shows a broader horizon,
enriching the narrative in news reporting through a more intuitive image
captioning framework.
