The Difference Between The Augmentor Library and TensorFlow’s flow_from_directory
Data augmentation is an essential technique in deep learning for image classification and object detection tasks. It involves transforming the original images in the dataset to generate new, augmented images that are used to train the model. This helps to reduce overfitting and improve the model’s ability to generalize to…
The Difference Between The Augmentor Library and TensorFlow’s flow_from_directory Data augmentation is an essential technique in deep learning for image classification and object detection tasks. It involves transforming the original images in the dataset to generate new, augmented images that are used to train the model. This helps to reduce overfitting and improve the model’s ability to generalize to… image-processing
Difference Augmentor Library TensorFlow’s flowfromdirectory Data augmentation essential technique deep learning image classification object detection task involves transforming original image dataset generate new augmented image used train model help reduce overfitting improve model’s ability generalize to… imageprocessing