tfds.visualization.show_examples | TensorFlow Datasets (original) (raw)
tfds.visualization.show_examples
Visualize images (and labels) from an image classification dataset.
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Main aliases
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 Fine tuning models for plant disease detection |
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. 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) ortfds.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. See the tfds.visualization for a list of available visualizers. |
| Returns | |
|---|---|
| fig | The matplotlib.Figure object |
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Last updated 2024-04-26 UTC.