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tf.keras.layers.RandomFlip

A preprocessing layer which randomly flips images during training.

Inherits From: Layer, Module

Used in the notebooks

Used in the guide Used in the tutorials

This layer will flip the images horizontally and or vertically based on the mode attribute. During inference time, the output will be identical to input. Call the layer with training=True to flip the input.

For an overview and full list of preprocessing layers, see the preprocessing guide.

Input shape:

3D (unbatched) or 4D (batched) tensor with shape: (..., height, width, channels), in "channels_last" format.

Output shape:

3D (unbatched) or 4D (batched) tensor with shape: (..., height, width, channels), in "channels_last" format.

mode String indicating which flip mode to use. Can be "horizontal", "vertical", or "horizontal_and_vertical". Defaults to "horizontal_and_vertical". "horizontal" is a left-right flip and "vertical" is a top-bottom flip.
seed Integer. Used to create a random seed.