Action Datasets

Action datasets are collections of video recordings annotated with information about the actions performed, serving as crucial training data for computer vision models focused on action recognition, detection, and related tasks. Current research emphasizes developing datasets with increased diversity (e.g., encompassing animal behavior, GUI interactions, and esports), finer granularity (e.g., distinguishing subtle variations within actions), and multiple modalities (e.g., combining video with sensor data). These advancements are driving improvements in model architectures, including transformers and graph neural networks, and enabling applications ranging from ecological monitoring to automated systems and enhanced human-computer interaction.