RandomErasing

Random Erasing data augmentation technique.

Abstract Signature:

RandomErasing(factor: float = 1.0, scale: Tuple[float, float] = [0.02, 0.33])

PyTorchKerasTensorFlowApple MLXFlax NNXPaxML / Praxis

PyTorch

API: torchvision.transforms.RandomErasing

Strategy: Direct Mapping

Official Docs ↗

Keras

API: keras.layers.RandomErasing

Strategy: Direct Mapping

Official Docs ↗

TensorFlow

API: tf.keras.layers.RandomErasing

Strategy: Direct Mapping

Official Docs ↗

Apple MLX

API: —

Strategy: Custom / Partial

Flax NNX

API: —

Strategy: Custom / Partial

PaxML / Praxis

API: —

Strategy: Custom / Partial