Time Series Datasets

UCF50 & UCF101:

These two datasets contain realistic action recognition videos collected from Youtube with large variations in motion, pose, scales and conditions. The video files are categorized in groups with similar features, for example same person in the videos, similar viewpoints, background, etc.

UCF50

Here is some information regarding this dataset:

• Number of Categories: 50 categories provided in bellow (copied from the original page)

• Number of Groups: 25 (more than 4 clips for every action in each group)

Categories: “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”.

More details about this dataset and links of download can be found on http://crcv.ucf.edu/data/UCF50.php.

If you use this dataset, make sure to cite the paper:

K. K. Reddy, M. Shah, Recognizing 50 Human Action Categories of Web Videos, Machine Vision and Applications Journal (MVAP), 2012.

UCF101

Here is some information regarding this dataset:

• Number of Video Clips: 13320

• Number of Categories: 101 categories provided in bellow (copied from the original page)

• Number of Groups: 25 (4-7 clips for every action in each group)

Categories: “Apply Eye Makeup, Apply Lipstick, Archery, Baby Crawling, Balance Beam, Band Marching, Baseball Pitch, Basketball Shooting, Basketball Dunk, Bench Press, Biking, Billiards Shot, Blow Dry Hair, Blowing Candles, Body Weight Squats, Bowling, Boxing Punching Bag, Boxing Speed Bag, Breaststroke, Brushing Teeth, Clean and Jerk, Cliff Diving, Cricket Bowling, Cricket Shot, Cutting In Kitchen, Diving, Drumming, Fencing, Field Hockey Penalty, Floor Gymnastics, Frisbee Catch, Front Crawl, Golf Swing, Haircut, Hammer Throw, Hammering, Handstand Pushups, Handstand Walking, Head Massage, High Jump, Horse Race, Horse Riding, Hula Hoop, Ice Dancing, Javelin Throw, Juggling Balls, Jump Rope, Jumping Jack, Kayaking, Knitting, Long Jump, Lunges, Military Parade, Mixing Batter, Mopping Floor, Nun chucks, Parallel Bars, Pizza Tossing, Playing Guitar, Playing Piano, Playing Tabla, Playing Violin, Playing Cello, Playing Daf, Playing Dhol, Playing Flute, Playing Sitar, Pole Vault, Pommel Horse, Pull Ups, Punch, Push Ups, Rafting, Rock Climbing Indoor, Rope Climbing, Rowing, Salsa Spins, Shaving Beard, Shotput, Skate Boarding, Skiing, Skijet, Sky Diving, Soccer Juggling, Soccer Penalty, Still Rings, Sumo Wrestling, Surfing, Swing, Table Tennis Shot, Tai Chi, Tennis Swing, Throw Discus, Trampoline Jumping, Typing, Uneven Bars, Volleyball Spiking, Walking with a dog, Wall Pushups, Writing On Board, Yo Yo”.

More details about this dataset and links of download can be found on http://crcv.ucf.edu/data/UCF101.php.

If you use this dataset, please refer to the technical report:

K. Soomro, A. Roshan Zamir, M. Shah, UCF101: A Dataset of 101 Human Action Classes From Videos in The Wild, CRCV-TR-12-01, 2012.

Keywords: Vision, Action Recognition, Time Series, Video, Youtube, Sports, Human Interaction, Body Motion