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siscore

FeaturesDict({
    'dataset_label': ClassLabel(shape=(), dtype=tf.int64, num_classes=1000),
    'image': Image(shape=(None, None, 3), dtype=tf.uint8),
    'image_id': tf.int64,
    'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=1000),
})
  • Feature documentation:
Feature Class Shape Dtype Description
FeaturesDict
dataset_label ClassLabel tf.int64
image Image (None, None, 3) tf.uint8
image_id Tensor tf.int64
label ClassLabel tf.int64
@misc{djolonga2020robustness,
      title={On Robustness and Transferability of Convolutional Neural Networks},
      author={Josip Djolonga and Jessica Yung and Michael Tschannen and Rob Romijnders and Lucas Beyer and Alexander Kolesnikov and Joan Puigcerver and Matthias Minderer and Alexander D'Amour and Dan Moldovan and Sylvain Gelly and Neil Houlsby and Xiaohua Zhai and Mario Lucic},
      year={2020},
      eprint={2007.08558},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

siscore/rotation (default config)

  • Config description: factor of variation: rotation

  • Download size: 1.40 GiB

  • Dataset size: 1.40 GiB

  • Splits:

Split Examples
'test' 39,540

Visualization

siscore/size

  • Config description: factor of variation: size

  • Download size: 3.25 GiB

  • Dataset size: 3.27 GiB

  • Splits:

Split Examples
'test' 92,884

Visualization

siscore/location

  • Config description: factor of variation: location

  • Download size: 18.21 GiB

  • Dataset size: 18.31 GiB

  • Splits:

Split Examples
'test' 541,548

Visualization