UCF50 is a action recognition dataset with 50 action
categories, consisting of realistic videos taken from youtube. This dataset is an extension of YouTube Action dataset
which has 11 action categories. The
dataset can be downloaded from the following address:
CLICK HERE TO DOWNLOAD....
Most of the available action recognition datasets are not realistic and are staged by actors.
In our dataset, the primary focus is to provide the computer vision
community with an action recognition dataset consisting of realistic
videos which are taken from youtube. Our dataset is very challenging due
to large variations in camera motion, object appearance and pose,
object scale, viewpoint, cluttered background, illumination conditions,
etc. For all the 50 categories, the videos are grouped into 25 groups, where each group consists of more
than 4 action clips. The video clips in the same group may share some
common features, such as the same person, similar background, similar viewpoint, and so on.
UCF50 dataset's 50 action
categories collected from youtube are: Baseball Pitch, Basketball Shooting, Bench Press, Biking, Biking, Billiards Shot,Breaststroke,
Clean and Jerk, Diving, Drumming, Fencing, Golf Swing, Playing Guitar,
High Jump, Horse Race, Horse Riding, Hula Hoop, Javelin Throw, Juggling
Balls, Jump Rope, Jumping Jack, Kayaking, Lunges, Military Parade,
Mixing Batter, Nun chucks, Playing Piano, Pizza Tossing, Pole Vault,
Pommel Horse, Pull Ups, Punch, Push Ups, Rock Climbing Indoor, Rope
Climbing, Rowing, Salsa Spins, Skate Boarding, Skiing, Skijet, Soccer
Juggling, Swing, Playing Tabla, TaiChi, Tennis Swing, Trampoline
Jumping, Playing Violin, Volleyball Spiking, Walking with a dog, and Yo Yo.
be released soon.... This dataset will have actions captured in ground
camera, rooftop camera and aerial camera at the same time.