Sequential Image Classification

Sequential Image Classification is a task in the field of computer vision that aims to classify a series of images. This task achieves accurate recognition and classification of dynamic scenes or continuous actions by analyzing the temporal dependencies and contextual information within the sequence of images, making it valuable for applications such as video surveillance and action recognition.