oriyonay/quickdraw-mnist
QuickDraw-MNIST 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. Dataset Structure 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… See the full description on the dataset page: https://huggingface.co/datasets/oriyonay/quickdraw-mnist.
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