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Leeds Sports Pose
2D Keypoints
Pose Estimation
|Action/Event Detection
|...
License: Unknown

Overview

Athletics Badminton Baseball Gymnastics Parkour Soccer Tennis Volleyball
img img img img img img img img

This dataset contains 2000 pose annotated images of mostly sports people gathered from Flickr
using the tags shown above. The images have been scaled such that the most prominent person
is roughly 150 pixels in length. Each image has been annotated with 14 joint locations. Left
and right joints are consistently labelled from a person-centric viewpoint. Attributions and
Flickr URLs for the original images can be found in the JPEG comment field of each image file.

Data Format

The ZIP archive contains images in two folders:
images/ - containing the original images
visualized/ - containing the images with poses visualized
The file joints.mat is a MATLAB data file containing the joint annotations in a 3x14x2000
matrix called 'joints' with x and y locations and a binary value indicating the visbility of
each joint.
The ordering of the joints is as follows:

  1. Right ankle
  2. Right knee
  3. Right hip
  4. Left hip
  5. Left knee
  6. Left ankle
  7. Right wrist
  8. Right elbow
  9. Right shoulder
  10. Left shoulder
  11. Left elbow
  12. Left wrist
  13. Neck
  14. Head top

Citation

Please use the following citation when referencing the dataset:

@inproceedings{Johnson10,
   title = {Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation},
   author = {Johnson, Sam and Everingham, Mark},
   year = {2010},
   booktitle = {Proceedings of the British Machine Vision Conference},
   note = {doi:10.5244/C.24.12}
}
Data Summary
Type
Image,
Amount
--
Size
33.78MB
Provided by
University of Leeds
The University of Leeds is part of the Russell Group of leading UK universities.
| Amount -- | Size 33.78MB
Leeds Sports Pose
2D Keypoints
Pose Estimation | Action/Event Detection
License: Unknown

Overview

Athletics Badminton Baseball Gymnastics Parkour Soccer Tennis Volleyball
img img img img img img img img

This dataset contains 2000 pose annotated images of mostly sports people gathered from Flickr
using the tags shown above. The images have been scaled such that the most prominent person
is roughly 150 pixels in length. Each image has been annotated with 14 joint locations. Left
and right joints are consistently labelled from a person-centric viewpoint. Attributions and
Flickr URLs for the original images can be found in the JPEG comment field of each image file.

Data Format

The ZIP archive contains images in two folders:
images/ - containing the original images
visualized/ - containing the images with poses visualized
The file joints.mat is a MATLAB data file containing the joint annotations in a 3x14x2000
matrix called 'joints' with x and y locations and a binary value indicating the visbility of
each joint.
The ordering of the joints is as follows:

  1. Right ankle
  2. Right knee
  3. Right hip
  4. Left hip
  5. Left knee
  6. Left ankle
  7. Right wrist
  8. Right elbow
  9. Right shoulder
  10. Left shoulder
  11. Left elbow
  12. Left wrist
  13. Neck
  14. Head top

Citation

Please use the following citation when referencing the dataset:

@inproceedings{Johnson10,
   title = {Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation},
   author = {Johnson, Sam and Everingham, Mark},
   year = {2010},
   booktitle = {Proceedings of the British Machine Vision Conference},
   note = {doi:10.5244/C.24.12}
}
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