: A Convolutional Neural Network (CNN), like ResNet or a Swin Transformer , would analyze the image to identify objects, textures, and spatial relationships.
: The model translates these visual signals into a 1D feature vector. This vector is then "decoded" by a Recurrent Neural Network (RNN) or a Transformer to produce a human-readable caption. ast0024525794_171.jpg
Identifiers with this structure are frequently found in datasets used for or Visual Question Answering (VQA) . : A Convolutional Neural Network (CNN), like ResNet