|---| | [ View source on GitHub](https://github.com/tensorflow/datasets/blob/v4.9.10/tensorflow_datasets/core/visualization/show_examples.py#L94-L150) | Visualize images (and labels) from an image classification dataset. #### View aliases **Main aliases** [`tfds.show_examples`](https://www.tensorflow.org/datasets/api_docs/python/tfds/visualization/show_examples)
tfds.visualization.show_examples( ds: _Dataset, ds_info: dataset_info.DatasetInfo, is_batched: bool = False, **options_kwargs ) ### Used in the notebooks | Used in the tutorials | |---| | - [TensorFlow Datasets](https://www.tensorflow.org/datasets/overview) - [Fine tuning models for plant disease detection](https://www.tensorflow.org/hub/tutorials/cropnet_on_device) | This function is for interactive use (Colab, Jupyter). It displays and return a plot of (rows\*columns) images from a tf.data.Dataset. #### Usage: ds, ds_info = tfds.load('cifar10', split='train', with_info=True) fig = tfds.show_examples(ds, ds_info)


| ## Args || |---|---| | `ds` | [`tf.data.Dataset`](https://www.tensorflow.org/api_docs/python/tf/data/Dataset). The tf.data.Dataset object to visualize. Examples should not be batched. Examples will be consumed in order until (rows \* cols) are read or the dataset is consumed. | | `ds_info` | The dataset info object to which extract the label and features info. Available either through `tfds.load('mnist', with_info=True)` or `tfds.builder('mnist').info` | | `is_batched` | Whether the data is batched. | | `**options_kwargs` | Additional display options, specific to the dataset type to visualize. Are forwarded to [`tfds.visualization.Visualizer.show`](https://www.tensorflow.org/datasets/api_docs/python/tfds/visualization/Visualizer#show). See the [`tfds.visualization`](https://www.tensorflow.org/datasets/api_docs/python/tfds/visualization) for a list of available visualizers. |



| ## Returns || |---|---| | `fig` | The `matplotlib.Figure` object |