Action Recognition

Action recognition is a task in the field of computer vision that aims to identify and classify human behaviors through videos or images. Its goal is to categorize the actions being performed in videos or images into predefined action categories, thereby achieving accurate action detection and understanding. This task holds significant value for applications such as video surveillance, human-computer interaction, and sports analysis. However, the challenge of building large-scale video datasets has led to most existing action recognition benchmarks being relatively small, typically containing only around 10k videos.