annopoints.point - person-centric body joint annotations objpos - rough human position in the image annorect(ridx) - body annotations for a person ridx annolist(imgidx) - annotations for image imgidx Image - video mapping (239 KB) Annotation descriptionĪnnotations are stored in a matlab structure RELEASE having following fields The videos are split for download into 25 batches ~17 GB each:īatch 11 Batch 12 Batch 13 Batch 14 Batch 15īatch 16 Batch 17 Batch 18 Batch 19 Batch 20īatch 21 Batch 22 Batch 23 Batch 24 Batch 25 You can download the images and annotations from the MPII Human Pose benchmark here:īelow you can download short videos including preceding and following frames for each image. Commercial use is not allowed due to the fact that the authors do not have the copyright for the images themselves.
#Online poser code#
We are making the annotations and the corresponding code freely available for research Licensed under the Simplified BSD License Citing the dataset = ,Ĭopyright 2015 Max Planck Institute for Informatics We are working on an automaticĮvaluation server and performance analysis tools based on rich test In the literature we withhold the test annotations to prevent Set we obtained richer annotations including body part occlusions andįollowing the best practices for the performance evaluation benchmarks Preceding and following un-annotated frames. Each image was extracted from a YouTube video and provided with Overall the dataset coversĤ10 human activities and each image is provided with an activity The images were systematically collected using an established The dataset includes aroundĢ5K images containing over 40K people with annotated body MPII Human Pose dataset is a state of the art benchmark for evaluation
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