imagewang

  • Description:

Imagewang contains Imagenette and Imagewoof combined Image网 (pronounced "Imagewang"; 网 means "net" in Chinese) contains Imagenette and Imagewoof combined, but with some twists that make it into a tricky semi-supervised unbalanced classification problem:

  • The validation set is the same as Imagewoof (i.e. 30% of Imagewoof images); there are no Imagenette images in the validation set (they're all in the training set)
  • Only 10% of Imagewoof images are in the training set!
  • The remaining are in the unsup ("unsupervised") directory, and you can not use their labels in training!
  • It's even hard to type and hard to say!

The dataset comes in three variants:

  • Full size
  • 320 px
  • 160 px

This dataset consists of the Imagenette dataset {size} variant.

Split Examples
'train' 14,669
'validation' 3,929
  • Feature structure:
FeaturesDict({
    'image': Image(shape=(None, None, 3), dtype=uint8),
    'label': ClassLabel(shape=(), dtype=int64, num_classes=20),
})
  • Feature documentation:
Feature Class Shape Dtype Description
FeaturesDict
image Image (None, None, 3) uint8
label ClassLabel int64 
@misc{imagewang,
  author    = "Jeremy Howard",
  title     = "Imagewang",
  url       = "https://github.com/fastai/imagenette/"
}

imagewang/full-size (default config)

Visualization

imagewang/320px

Visualization

imagewang/160px

Visualization