Procedural Human Action Videos - Instance Segmentation
Cesar Roberto de Souza and Adrien Gaidon and Yohann Cabon and Antonio Manuel Lopez Pena

folder phav_v2-instancegt (318 files)
fileinstancegt_5009.tar.bz2 44.29MB
fileinstancegt_5007.tar.bz2 45.70MB
fileinstancegt_5008.tar.bz2 47.11MB
fileinstancegt_5005.tar.bz2 47.45MB
fileinstancegt_5006.tar.bz2 42.47MB
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fileinstancegt_5004.tar.bz2 47.97MB
fileinstancegt_5001.tar.bz2 42.70MB
fileinstancegt_5002.tar.bz2 47.57MB
fileinstancegt_4023.tar.bz2 43.67MB
fileinstancegt_5000.tar.bz2 45.53MB
fileinstancegt_4021.tar.bz2 64.43MB
fileinstancegt_4022.tar.bz2 39.86MB
fileinstancegt_4019.tar.bz2 45.91MB
fileinstancegt_4020.tar.bz2 45.58MB
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fileinstancegt_4016.tar.bz2 43.09MB
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fileinstancegt_4009.tar.bz2 47.13MB
fileinstancegt_4010.tar.bz2 48.78MB
fileinstancegt_4007.tar.bz2 44.20MB
fileinstancegt_4008.tar.bz2 42.93MB
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fileinstancegt_4006.tar.bz2 46.07MB
fileinstancegt_3121.tar.bz2 46.68MB
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fileinstancegt_3111.tar.bz2 49.23MB
fileinstancegt_3112.tar.bz2 49.21MB
fileinstancegt_3109.tar.bz2 44.26MB
fileinstancegt_3110.tar.bz2 43.87MB
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fileinstancegt_3105.tar.bz2 49.45MB
fileinstancegt_3106.tar.bz2 43.31MB
fileinstancegt_3099.tar.bz2 49.87MB
fileinstancegt_3100.tar.bz2 48.15MB
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Type: Dataset
Tags: deep learning, action recognition, procedural generation, video classification

Bibtex:
@article{desouza17classgt,
title= {Procedural Human Action Videos - Instance Segmentation},
keywords= {Action recognition, procedural generation, deep learning, video classification},
journal= {},
author= {Cesar Roberto de Souza and Adrien Gaidon and Yohann Cabon and Antonio Manuel Lopez Pena},
year= {2017},
url= {http://adas.cvc.uab.es/phav/},
license= {Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)},
abstract= {Procedural Human Action Videos (PHAV)
 -------------------------------------
 
 This torrent contains the Procedural Human Action Videos (PHAV) dataset. This 
 version of the dataset contains 39,982 videos that have been generated by a 
 computer. The dataset is made available under the Creative Commons BY-NC-SA
 (Attribution-NonCommercial-ShareAlike 4.0 International) license. This sub-
 directory contains the Pixel-wise Semantic Segmentation Instance Ground Truth
 data modality for these videos.
 
 A human-readable version of the license terms is available at:
 
   - https://creativecommons.org/licenses/by-nc-sa/4.0/
   
 The full license terms are available at:
 
   - https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode
   
 By using PHAV, you agree to abide to the terms of the Creative Commons BY-NC-SA
 license. If you do not agree with the terms of this license, please contact the
 dataset authors for other licensing options.
 
 
 For more information, including details about how to parse the different files
 included in this release, how to use them in your experiments, and how to cite
 the PHAV dataset in your academical paper, please visit:

   - http://adas.cvc.uab.es/phav/
  
},
superseded= {},
terms= {By using PHAV, you agree to abide to the terms of the Creative Commons BY-NC-SA license.}
}


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