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<div itemscope itemtype="http://schema.org/Dataset"> | ||
<div itemscope itemprop="includedInDataCatalog" itemtype="http://schema.org/DataCatalog"> | ||
<meta itemprop="name" content="TensorFlow Datasets" /> | ||
</div> | ||
<meta itemprop="name" content="davis" /> | ||
<meta itemprop="description" content="The DAVIS 2017 video object segmentation dataset. To use this dataset: ```python import tensorflow_datasets as tfds ds = tfds.load('davis', split='train') for ex in ds.take(4): print(ex) ``` See [the guide](https://www.tensorflow.org/datasets/overview) for more informations on [tensorflow_datasets](https://www.tensorflow.org/datasets). " /> | ||
<meta itemprop="url" content="https://www.tensorflow.org/datasets/catalog/davis" /> | ||
<meta itemprop="sameAs" content="https://davischallenge.org/" /> | ||
<meta itemprop="citation" content="@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} }" /> | ||
</div> | ||
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# `davis` | ||
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* **Description**: | ||
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The DAVIS 2017 video object segmentation dataset. | ||
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* **Homepage**: [https://davischallenge.org/](https://davischallenge.org/) | ||
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* **Source code**: | ||
[`tfds.video.davis.Davis`](https://github.com/tensorflow/datasets/tree/master/tensorflow_datasets/video/davis/davis.py) | ||
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* **Versions**: | ||
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* **`1.0.0`** (default): Initial release. | ||
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* **Auto-cached** | ||
([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)): | ||
No | ||
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* **Splits**: | ||
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Split | Examples | ||
:------------- | -------: | ||
`'train'` | 60 | ||
`'validation'` | 30 | ||
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* **Features**: | ||
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```python | ||
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), | ||
}), | ||
}) | ||
``` | ||
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* **Supervised keys** (See | ||
[`as_supervised` doc](https://www.tensorflow.org/datasets/api_docs/python/tfds/load#args)): | ||
`None` | ||
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* **Citation**: | ||
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``` | ||
@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} | ||
} | ||
``` | ||
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* **Figure** | ||
([tfds.show_examples](https://www.tensorflow.org/datasets/api_docs/python/tfds/visualization/show_examples)): | ||
Not supported. | ||
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* **Examples** | ||
([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)): | ||
Missing. | ||
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## davis/480p (default config) | ||
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* **Config description**: The 480p version of the dataset | ||
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* **Download size**: `794.19 MiB` | ||
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* **Dataset size**: `795.49 MiB` | ||
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## davis/full_resolution | ||
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* **Config description**: The full resolution version of the dataset. | ||
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* **Download size**: `2.75 GiB` | ||
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* **Dataset size**: `2.79 GiB` |
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