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  • Description:

ImageNet-Sketch consists of 50,889 black and white sketch images, 50 for each of the 1000 ImageNet classes. These images were originally collected from Google Image Search for "sketch of __". 100 images were collected and then manually filtered. For classes with fewer than 50 good images, additional images were constructed by flip or rotation.

Split Examples
'test' 50,889
  • Feature structure:
    'file_name': Text(shape=(), dtype=string),
    'image': Image(shape=(None, None, 3), dtype=uint8),
    'label': ClassLabel(shape=(), dtype=int64, num_classes=1000),
  • Feature documentation:
Feature Class Shape Dtype Description
file_name Text string
image Image (None, None, 3) uint8
label ClassLabel int64


  • Citation:
        title={Learning Robust Global Representations by Penalizing Local Predictive Power},
        author={Wang, Haohan and Ge, Songwei and Lipton, Zachary and Xing, Eric P},
        booktitle={Advances in Neural Information Processing Systems},