QuickDraw and quickdraw-cnn
The first is a game implementation that generates training data, while the second is a machine learning model that could be trained on or deployed within such a game—making them complements in a sketch-recognition pipeline.
About QuickDraw
vietnh1009/QuickDraw
Implementation of Quickdraw - an online game developed by Google
Leverages a convolutional neural network trained on Google's Quick Draw dataset to classify hand-drawn sketches across 20 object categories in real-time. Provides two interaction modes: a camera app using color-based pen tracking (blue/red/green) via OpenCV for direct webcam drawing, and a canvas-based drawing interface. Built with PyTorch for model inference and trained on 10,000 images per class with 80/20 train-test split.
About quickdraw-cnn
larswaechter/quickdraw-cnn
A convolutional neural network using Tensorflow and Google's Quick, Draw! dataset to recognize hand drawn images.
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