: UCF101 is one of the most widely used datasets for action recognition, consisting of 13,320 video clips from 101 action categories.
: Testing how accurately an algorithm can classify the action in a video like 113.mpg .
: Training models to identify specific human movements.
Photoelectric radial velocities, Paper IV. 528 7m - NASA ADS
In computer vision and machine learning research, this specific file is often cited in papers focusing on .
: The "113" in the filename often corresponds to a specific action index or group within the dataset, such as "Jumping Jack" or "Horse Riding," depending on the specific partitioning used by the researchers.