|---| | [ View source on GitHub](https://github.com/keras-team/keras/tree/v2.15.0/keras/preprocessing/image.py#L58-L178) | Base class for image data iterators. Inherits From: [`Sequence`](https://www.tensorflow.org/versions/r2.15/api_docs/python/tf/keras/utils/Sequence) tf.keras.preprocessing.image.Iterator( n, batch_size, shuffle, seed ) > [!WARNING] > **Deprecated:** [`tf.keras.preprocessing.image.Iterator`](https://www.tensorflow.org/versions/r2.15/api_docs/python/tf/keras/preprocessing/image/Iterator) is not recommended for new code. Prefer loading images with [`tf.keras.utils.image_dataset_from_directory`](https://www.tensorflow.org/versions/r2.15/api_docs/python/tf/keras/utils/image_dataset_from_directory) and transforming the output [`tf.data.Dataset`](https://www.tensorflow.org/versions/r2.15/api_docs/python/tf/data/Dataset) with preprocessing layers. For more information, see the tutorials for [loading images](https://www.tensorflow.org/tutorials/load_data/images) and [augmenting images](https://www.tensorflow.org/tutorials/images/data_augmentation), as well as the [preprocessing layer guide](https://www.tensorflow.org/guide/keras/preprocessing_layers). Every `Iterator` must implement the `_get_batches_of_transformed_samples` method.


| ## Args || |---|---| | `n` | Integer, total number of samples in the dataset to loop over. | | `batch_size` | Integer, size of a batch. | | `shuffle` | Boolean, whether to shuffle the data between epochs. | | `seed` | Random seeding for data shuffling. |
## Methods ### `next` [View source](https://github.com/keras-team/keras/tree/v2.15.0/keras/preprocessing/image.py#L158-L168) next() For python 2.x.


| Returns || |---|---| | The next batch. ||
### `on_epoch_end` [View source](https://github.com/keras-team/keras/tree/v2.15.0/keras/preprocessing/image.py#L121-L122) on_epoch_end() Method called at the end of every epoch. ### `reset` [View source](https://github.com/keras-team/keras/tree/v2.15.0/keras/preprocessing/image.py#L124-L125) reset() ### `__getitem__` [View source](https://github.com/keras-team/keras/tree/v2.15.0/keras/preprocessing/image.py#L101-L116) __getitem__( idx ) Gets batch at position `index`.


| Args || |---|---| | `index` | position of the batch in the Sequence. |



| Returns || |---|---| | A batch ||
### `__iter__` [View source](https://github.com/keras-team/keras/tree/v2.15.0/keras/preprocessing/image.py#L150-L153) __iter__() Create a generator that iterate over the Sequence. ### `__len__` [View source](https://github.com/keras-team/keras/tree/v2.15.0/keras/preprocessing/image.py#L118-L119) __len__() Number of batch in the Sequence.


| Returns || |---|---| | The number of batches in the Sequence. ||



| ## Class Variables || |---|---| | white_list_formats | `('png', 'jpg', 'jpeg', 'bmp', 'ppm', 'tif', 'tiff')` |