oxford_flowers102_dataset: 102 Category Flower Dataset

In torchdatasets: Ready to Use Extra Datasets for Torch

102 Category Flower Dataset

Description

The Oxford Flower Dataset is a 102 category dataset, consisting of 102 flower categories. The flowers chosen to be flower commonly occuring in the United Kingdom. Each class consists of between 40 and 258 images. The details of the categories and the number of images for each class can be found on this category statistics page.

Usage

oxford_flowers102_dataset(
  root,
  split = "train",
  target_type = c("categories"),
  download = FALSE,
  ...,
  transform = NULL,
  target_transform = NULL
)

Arguments

root	path to the data location
split	train, test or valid
target_type	Currently only 'categories' is supported.
download	wether to download or not
...	Currently unused.
transform	A function/transform that takes in an PIL image and returns a transformed version. E.g, transform_random_crop().
target_transform	A function/transform that takes in the target and transforms it.

Details

The images have large scale, pose and light variations. In addition, there are categories that have large variations within the category and several very similar categories. The dataset is visualized using isomap with shape and colour features.

You can find more info in the dataset webpage.

Note

The official splits leaves far too many images in the test set. Depending on your work you might want to create different train/valid/test splits.

torchdatasets documentation built on Feb. 16, 2023, 9:23 p.m.