Collection and preprocessing preserve relationships between modalities using identifiers, timestamps, or annotations. Alignment quality determines whether a model learns meaningful cross-modal correspondence.
A multimodal dataset contains aligned or related examples from more than one data type, such as images and captions or video and audio.
Collection and preprocessing preserve relationships between modalities using identifiers, timestamps, or annotations. Alignment quality determines whether a model learns meaningful cross-modal correspondence.