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davis

  • Description:

The DAVIS 2017 video object segmentation dataset.

Split Examples
'train' 60
'validation' 30
  • Features:
FeaturesDict({
    'metadata': FeaturesDict({
        'num_frames': tf.int64,
        'video_name': tf.string,
    }),
    'video': Sequence({
        'frames': Image(shape=(None, None, 3), dtype=tf.uint8),
        'segmentations': Image(shape=(None, None, 1), dtype=tf.uint8),
    }),
})
@article{DBLP:journals/corr/Pont-TusetPCASG17,
  author    = {Jordi Pont{-}Tuset and
               Federico Perazzi and
               Sergi Caelles and
               Pablo Arbelaez and
               Alexander Sorkine{-}Hornung and
               Luc Van Gool},
  title     = {The 2017 {DAVIS} Challenge on Video Object Segmentation},
  journal   = {CoRR},
  volume    = {abs/1704.00675},
  year      = {2017},
  url       = {http://arxiv.org/abs/1704.00675},
  archivePrefix = {arXiv},
  eprint    = {1704.00675},
  timestamp = {Mon, 13 Aug 2018 16:48:55 +0200},
  biburl    = {https://dblp.org/rec/journals/corr/Pont-TusetPCASG17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

davis/480p (default config)

  • Config description: The 480p version of the dataset

  • Download size: 794.19 MiB

  • Dataset size: 792.26 MiB

  • Examples (tfds.as_dataframe):

davis/full_resolution

  • Config description: The full resolution version of the dataset.

  • Download size: 2.75 GiB

  • Dataset size: 2.78 GiB

  • Examples (tfds.as_dataframe):