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ImageNet-Sketch

Sketch of objects in ImageNet

ImageNet-Sketch

ImageNet-Sketch data set consists of 50000 images, 50 images for each of the 1000 ImageNet classes. We construct the data set with Google Image queries "sketch of __", where __ is the standard class name. We only search within the "black and white" color scheme. We initially query 100 images for every class, and then manually clean the pulled images by deleting the irrelevant images and images that are for similar but different classes. For some classes, there are less than 50 images after manually cleaning, and then we augment the data set by flipping and rotating the images.

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Carnegie Mellon University
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Task
Image Classification
Annotation Types
Bounding Boxes
50
Items
1000
Classes
50000
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Research Only
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