webvid

• Description:

WebVid is a large-scale dataset of short videos with textual descriptions sourced from the web. The videos are diverse and rich in their content.

WebVid-10M contains:

10.7M video-caption pairs. 52K total video hours.

• Homepage: https://m-bain.github.io/webvid-dataset/

• Source code: tfds.datasets.webvid.Builder

• Versions:

  • 1.0.0 (default): Initial release.

• Download size: Unknown size

• Dataset size: Unknown size

• Manual download instructions: This dataset requires you to download the source data manually into download_config.manual_dir (defaults to ~/tensorflow_datasets/downloads/manual/):
  Follow the download instructions in https://m-bain.github.io/webvid-dataset/ to get the data. Place the csv files and the video directories in manual_dir/, such that mp4 files are placed in manual_dir/*_*/*.mp4.

• Auto-cached (documentation): Unknown

• Splits:

• Feature structure:

FeaturesDict({
    'caption': Text(shape=(), dtype=string),
    'id': Text(shape=(), dtype=string),
    'url': Text(shape=(), dtype=string),
    'video': Video(Image(shape=(360, 640, 3), dtype=uint8)),
})

• Feature documentation:

• Supervised keys (See as_supervised doc): None

• Figure (tfds.show_examples): Not supported.

• Examples (tfds.as_dataframe): Missing.

• Citation:

@misc{bain2021frozen,
      title={Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval},
      author={Max Bain and Arsha Nagrani and Gül Varol and Andrew Zisserman},
      year={2021},
      eprint={2104.00650},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}