Visualization: Explore in Know Your Data
Description:
Source code:
tfds.image_classification.siscore.Siscore
Versions:
1.0.0
(default): Initial release.
Auto-cached (documentation): No
Feature structure:
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 |
Supervised keys (See
as_supervised
doc):('image', 'label')
Citation:
@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 |
- Figure (tfds.show_examples):
- Examples (tfds.as_dataframe):
siscore/size
Config description: factor of variation: size
Download size:
3.25 GiB
Dataset size:
3.27 GiB
Splits:
Split | Examples |
---|---|
'test' |
92,884 |
- Figure (tfds.show_examples):
- Examples (tfds.as_dataframe):
siscore/location
Config description: factor of variation: location
Download size:
18.21 GiB
Dataset size:
18.31 GiB
Splits:
Split | Examples |
---|---|
'test' |
541,548 |
- Figure (tfds.show_examples):
- Examples (tfds.as_dataframe):