i_naturalist2018

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  • Description:

There are a total of 8,142 species in the dataset, with 437,513 training images, and 24,426 validation images. Each image has one ground truth label.

Split Examples
'test' 149,394
'train' 437,513
'validation' 24,426
  • Feature structure:
FeaturesDict({
    'id': Text(shape=(), dtype=tf.string),
    'image': Image(shape=(None, None, 3), dtype=tf.uint8),
    'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=8142),
    'supercategory': ClassLabel(shape=(), dtype=tf.int64, num_classes=14),
})
  • Feature documentation:
Feature Class Shape Dtype Description
FeaturesDict
id Text tf.string
image Image (None, None, 3) tf.uint8
label ClassLabel tf.int64
supercategory ClassLabel tf.int64

Visualization

  • Citation:
\
@misc{inaturalist18,
    Howpublished = {~\url{https://github.com/visipedia/inat_comp/tree/master/2018} },
    Title = { {iNaturalist} 2018 competition dataset.},
    Year = {2018},
    key = { {iNaturalist} 2018 competition dataset},
    }