ImageDataLoaders_from_folder: ImageDataLoaders from folder

In fastai: Interface to 'fastai'

ImageDataLoaders from folder

Description

Create from imagenet style dataset in 'path' with 'train' and 'valid' subfolders (or provide 'valid_pct')

Usage

ImageDataLoaders_from_folder(
  path,
  train = "train",
  valid = "valid",
  valid_pct = NULL,
  seed = NULL,
  vocab = NULL,
  item_tfms = NULL,
  batch_tfms = NULL,
  bs = 64,
  val_bs = NULL,
  shuffle_train = TRUE,
  device = NULL,
  size = NULL,
  ...
)

Arguments

path	The folder where to work
train	train data
valid	validation data
valid_pct	validion percentage
seed	random seed
vocab	vocabulary
item_tfms	One or several transforms applied to the items before batching them
batch_tfms	One or several transforms applied to the batches once they are formed
bs	batch size
val_bs	The batch size for the validation DataLoader (defaults to bs)
shuffle_train	If we shuffle the training DataLoader or not
device	device name
size	image size
...	additional parameters to pass

fastai documentation built on June 22, 2024, 11:15 a.m.