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The 20BN-jester Dataset V1


Introduction

The 20BN-JESTER dataset is a large collection of densely-labeled video clips that show humans performing pre-definded hand gestures in front of a laptop camera or webcam. The dataset was created by a large number of crowd workers. It allows for training robust machine learning models to recognize human hand gestures. It is available free of charge for academic research. Commercial licenses are available upon request.

A paper with supplementary material will be published soon on arXiv.

Sliding Two Fingers Down
Swiping Left
Thumb Up

Data format

The video data is provided as one large TGZ archive, split into parts of 1 GB max. The total download size is 22.8 GB. The archive contains directories numbered from 1 to 148092. Each directory corresponds to one video and contains JPG images with height 100px and variable width. The JPG images were extracted from the orginal videos at 12 frames per seconds. The filenames of the JPGs start at 00001.jpg. The number of JPGs varies as the length of the original videos varies.

Terms of use

This dataset is made available under the Creative Commons Attribution 4.0 International license CC BY-NC-ND 4.0. It can be used for academic research free of charge. If you seek to use the data for commercial purposes please contact us.

Download Dataset

Please register or log in to download the dataset.


20BN-JESTER-DATASET
Total number of videos
148,092
Training Set
118,562
Validation Set
14,787
Test Set (w/o labels)
14,743
Labels
27
12,416
Doing other things
5,444
Drumming Fingers
5,344
No gesture
5,379
Pulling Hand In
5,315
Pulling Two Fingers In
5,434
Pushing Hand Away
5,358
Pushing Two Fingers Away
5,031
Rolling Hand Backward
5,165
Rolling Hand Forward
5,314
Shaking Hand
5,410
Sliding Two Fingers Down
5,345
Sliding Two Fingers Left
5,244
Sliding Two Fingers Right
5,262
Sliding Two Fingers Up
5,413
Stop Sign
5,303
Swiping Down
5,160
Swiping Left
5,066
Swiping Right
5,240
Swiping Up
5,460
Thumb Down
5,457
Thumb Up
3,980
Turning Hand Clockwise
4,181
Turning Hand Counterclockwise
5,307
Zooming In With Full Hand
5,355
Zooming In With Two Fingers
5,330
Zooming Out With Full Hand
5,379
Zooming Out With Two Fingers

Leaderboard

If you have been successful in creating a model based on the training set and it performs well on the validation set, we encourage you to run your model on the test set (which is published without any class labels, as you might have noticed). Please prepare a .csv file with the video's id in the first column and your predicted class label (as a string matching the wording used in the training and validation sets). As a separator, please use a semicolon. You can then upload your .csv file here (user login required) to be ranked in the leaderboard and to benchmark your approach against that of other machine learners. We are looking forward to your submission.

Rank
Name
Approach
Score
1
Anonymous
4 months ago

DRX3D

96.6%
2
Okan Köpüklü
2 months ago

Motion Fused Frames (MFFs)
Code: https://github.com/okankop/MFF-pytorch
Article: https://arxiv.org/pdf/1804.07187.pdf
Contact:okankopuklu@gmail.com

96.28%
3
B1f0096134
Mohamad ALjazaery @Midea
7 days ago

Spatiotemporal Two Streams network

96.26%
4
Anonymous
3 months ago

Motion Feature Network (MFNet)

96.22%
5
Ke Yang (NUDT_PDL)
5 months ago
95.34%
6
Anonymous
4 months ago

DIN

95.31%
7
Guangming Zhu
5 months ago
95.01%
8
SJ
4 months ago
94.87%
9
Anonymous
7 months ago

TRN (CVPR'18 submission)

94.78%
10
Thomas Friedel
about 1 month ago
94.74%
11
Eren Gölge
7 months ago

Besnet

94.23%
12
Gaurav Kumar Singh
7 months ago

Ford's Gesture Recognition System

94.11%
13
50f9db422a
Guillaume Berger
8 months ago
93.87%
14
Baptist
5 months ago
93.11%
15
Oskar Holmberg, Filip Granqvist
24 days ago

ConvLSTM

88.96%
16
John Emmons
7 months ago

VideoLSTM

85.86%
17
B77f9454d5
Damien MENIGAUX
6 months ago

ConvLSTM

82.76%
18
Fb25d15358
Joanna Materzyńska
11 months ago

Twenty Billion Neuron's Jester System

82.34%
19
Ed883c4891
Wang Jingyao
6 months ago

3D convolutional neural network

77.85%
20
95f9c8585d
Yu Zhu
10 months ago
10.52%
21
Ming
13 days ago

Test

4.0%
22
8c2acfc0a4
Konfuzius
12 months ago

Just random guessing…

3.65%



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