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UCF101
Classification
Action/Event Detection
|...
License: Unknown

Overview

UCF101 is an action recognition data set of realistic action videos, collected from YouTube,
having 101 action categories. This data set is an extension of UCF50 data set which has 50
action categories.

Data Format

The action categories can be divided into five types: 1)Human-Object Interaction 2) Body-Motion
Only 3) Human-Human Interaction 4) Playing Musical Instruments 5) Sports.

The action categories
for UCF101 data set are: 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.

Citation

Please use the following citation when referencing the dataset:

@article{DBLP:journals/corr/abs-1212-0402,
  author    = {Khurram Soomro and
               Amir Roshan Zamir and
               Mubarak Shah},
  title     = {{UCF101:} {A} Dataset of 101 Human Actions Classes From Videos in
               The Wild},
  journal   = {CoRR},
  volume    = {abs/1212.0402},
  year      = {2012},
  url       = {http://arxiv.org/abs/1212.0402},
  archivePrefix = {arXiv},
  eprint    = {1212.0402},
  timestamp = {Mon, 13 Aug 2018 16:47:45 +0200},
  biburl    = {https://dblp.org/rec/journals/corr/abs-1212-0402.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
Data Summary
Type
Video,
Amount
13.321K
Size
6.46GB
Provided by
University of Central Florida
The University of Central Florida (UCF) is a public research university in unincorporated Orange County, Florida.
| Amount 13.321K | Size 6.46GB
UCF101
Classification
Action/Event Detection
License: Unknown

Overview

UCF101 is an action recognition data set of realistic action videos, collected from YouTube,
having 101 action categories. This data set is an extension of UCF50 data set which has 50
action categories.

Data Format

The action categories can be divided into five types: 1)Human-Object Interaction 2) Body-Motion
Only 3) Human-Human Interaction 4) Playing Musical Instruments 5) Sports.

The action categories
for UCF101 data set are: 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.

Citation

Please use the following citation when referencing the dataset:

@article{DBLP:journals/corr/abs-1212-0402,
  author    = {Khurram Soomro and
               Amir Roshan Zamir and
               Mubarak Shah},
  title     = {{UCF101:} {A} Dataset of 101 Human Actions Classes From Videos in
               The Wild},
  journal   = {CoRR},
  volume    = {abs/1212.0402},
  year      = {2012},
  url       = {http://arxiv.org/abs/1212.0402},
  archivePrefix = {arXiv},
  eprint    = {1212.0402},
  timestamp = {Mon, 13 Aug 2018 16:47:45 +0200},
  biburl    = {https://dblp.org/rec/journals/corr/abs-1212-0402.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
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