QuickDraw-MNIST is a 20-class sketch-recognition dataset prepared for Texas A&M's CSCE 624 (Sketch Recognition) class.
The data is sourced from Google's Quick, Draw! dataset.
Number of images: 100,000
Number of classes: 20
Images: 64 x 64 grayscale
Labels: integer class ids with a human-readable label_name column
Classes: The Eiffel Tower, airplane, angel, bed, chair, clock, diamond, donut, fork, frog, hourglass, leaf, line, mushroom… See the full description on the dataset page:
https://huggingface.co/datasets/oriyonay/quickdraw-mnist.
