COCO Caption

COCO Captions, a benchmark dataset for image captioning, fuels research into generating natural language descriptions from images. Current research focuses on improving annotation quality and addressing biases in existing datasets, leading to the development of new, larger, and more diverse datasets like COCONut and UIT-OpenViIC, which tackle issues of language and cultural representation. This work also involves refining model architectures to enhance caption accuracy and mitigate bias amplification, often leveraging contrastive learning and multi-modal approaches. The resulting advancements in image captioning have significant implications for various applications, including content creation, accessibility tools, and improved understanding of visual data.