Leeds Sports Pose Extended Training Dataset Sam Johnson and Mark Everingham http://www.comp.leeds.ac.uk/mat4saj/lspet.html This is a set of 10,000 images gathered from Flickr searches for the tags 'parkour', 'gymnastics', and 'athletics'. Each image has a corresponding annotation gathered from Amazon Mechanical Turk. The images have been scaled such that the annotated person is roughly 150 pixels in length. The archive contains two top-level files and one folder: README.txt - this document joints.mat - a MATLAB format matrix 'joints' consisting of 14 joint locations and visibility flags. Joints are labelled in the following order: Right ankle Right knee Right hip Left hip Left knee Left ankle Right wrist Right elbow Right shoulder Left shoulder Left elbow Left wrist Neck Head top images/ - 10,000 images There is a second archive: http://www.comp.leeds.ac.uk/mat4saj/lspet_dataset_visualized.zip containing the 10,000 images above with rendered poses. If you use this dataset please cite Sam Johnson and Mark Everingham "Learning Effective Human Pose Estimation from Inaccurate Annotation" In proceedings of Computer Vision and Pattern Recognition (CVPR) 2011 @inproceedings{Johnson11, title = {Learning Effective Human Pose Estimation from Inaccurate Annotation}, author = {Johnson, Sam and Everingham, Mark}, year = {2011}, booktitle = {Proceedings of Computer Vision and Pattern Recognition (CVPR) 2011} } E-mail: s.a.johnson04@leeds.ac.uk