fiftyone.zoo.datasets.tf.CIFAR10Dataset

class documentation

class CIFAR10Dataset(TFDSDataset): (source)

The CIFAR-10 dataset of images.

The dataset consists of 60,000 32 x 32 color images in 10 classes, with 6,000 images per class. There are 50,000 training images and 10,000 test images.

Example usage:

import fiftyone as fo
import fiftyone.zoo as foz

dataset = foz.load_zoo_dataset("cifar10", split="test")

session = fo.launch_app(dataset)

Dataset size: 132.40 MB
Source: https://www.cs.toronto.edu/~kriz/cifar.html

Property	`license`	The license or list,of,licenses under which the dataset is distributed, or None if unknown.
Property	`name`	The name of the dataset.
Property	`supported_splits`	A tuple of supported splits for the dataset, or None if the dataset does not have splits.
Property	`tags`	A tuple of tags for the dataset.
Method	`_download_and_prepare`	Internal implementation of downloading the dataset and preparing it for use in the given directory.

Inherited from ZooDataset (via TFDSDataset):

Static Method	`get_info_path`	Returns the path to the `ZooDatasetInfo` for the dataset.
Static Method	`has_info`	Determines whether the directory contains `ZooDatasetInfo`.
Static Method	`load_info`	Loads the `ZooDatasetInfo` from the given dataset directory.
Method	`download_and_prepare`	Downloads the dataset and prepares it for use.
Method	`get_split_dir`	Returns the directory for the given split of the dataset.
Method	`has_split`	Whether the dataset has the given split.
Method	`has_tag`	Whether the dataset has the given tag.
Property	`has_patches`	Whether the dataset has patches that may need to be applied to already downloaded files.
Property	`has_splits`	Whether the dataset has splits.
Property	`has_tags`	Whether the dataset has tags.
Property	`importer_kwargs`	A dict of default kwargs to pass to this dataset's `fiftyone.utils.data.importers.DatasetImporter`.
Property	`is_remote`	Whether the dataset is remotely-sourced.
Property	`parameters`	An optional dict of parameters describing the configuration of the zoo dataset when it was downloaded.
Property	`requires_manual_download`	Whether this dataset requires some files to be manually downloaded by the user before the dataset can be loaded.
Property	`supports_partial_downloads`	Whether the dataset supports downloading partial subsets of its splits.
Method	`_get_splits_to_download`	Undocumented
Method	`_is_dataset_ready`	Undocumented
Method	`_is_split_ready`	Undocumented
Method	`_patch_if_necessary`	Internal method called when an already downloaded dataset may need to be patched.

@property
license = (source) ¶

overrides fiftyone.zoo.datasets.ZooDataset.license

The license or list,of,licenses under which the dataset is distributed, or None if unknown.

@property
name = (source) ¶

overrides fiftyone.zoo.datasets.ZooDataset.name

The name of the dataset.

@property
supported_splits = (source) ¶

overrides fiftyone.zoo.datasets.ZooDataset.supported_splits

A tuple of supported splits for the dataset, or None if the dataset does not have splits.

@property
tags = (source) ¶

overrides fiftyone.zoo.datasets.ZooDataset.tags

A tuple of tags for the dataset.

def _download_and_prepare(self, dataset_dir, scratch_dir, split): (source) ¶

overrides fiftyone.zoo.datasets.ZooDataset._download_and_prepare

Internal implementation of downloading the dataset and preparing it for use in the given directory.

Parameters
dataset_dir	the directory in which to construct the dataset. If a `split` is provided, this is the directory for the split
scratch_dir	a scratch directory to use to download and prepare any required intermediate files
split	the split to download, or None if the dataset does not have splits
Returns
tuple of	dataset_type: the `fiftyone.types.Dataset` type of the dataset num_samples: the number of samples in the split. For datasets that support partial downloads, this can be `None`, which indicates that all content was already downloaded classes: an optional list of class label strings