Image Captioning

Image captioning aims to accurately describe the content of input images using natural language generation techniques. This task integrates technologies from both computer vision and natural language processing fields, typically employing an encoder-decoder framework to transform image information into intermediate representations, which are then decoded into descriptive texts. The primary evaluation metrics include BLEU and CIDER, while common datasets used for this purpose are nocaps and COCO. Image captioning holds significant application value in areas such as assisting visually impaired individuals in understanding images, automated content tagging, and intelligent image search.