Implementation of Quickdraw - an online game developed by Google
this is my repository for the quick draw prediction model project
Doodle image recognition with TensorFlow.
Quick, Draw! Doodle Recognition Challenge (Rank 11/1316)
Classifying Google Quick, Draw! Dataset Using Tensoflow 2.0
Web app to detect user hand-drawn sketches on a canvas. Using google's quickdraw dataset. App built using python with flask and keras API.
Hand-drawn image recognition project using Python, inspired by Google's Quick, Draw!.
Farms GitHub achievements via backdated commits, coauthored PRs, and seeded discussions on your repos.
Zero-shot vector sketch generation via GMM prior flow in CLIP latent space
Quickdraw_grid generates a grid of vector drawings from Google's "Quick, Draw!" database, based on user's input - selected category, number of rows and columns.
Real-time drawing recognition game using MediaPipe hand tracking and a deep learning model trained on the Google Quick, Draw! dataset.
SketchGuess AI is a small interactive machine learning project where users draw a simple doodle, and a CNN model predicts the top three possible objects with confidence scores using a selected subset of Google’s Quick, Draw! dataset.
Conditional GAN for the quickdraw dataset
An implementation of Google's Quick
Implementation of Google's QuickDraw Game, instead of drawing on screen, drawing is done in air, and i used CNN to create the model. This is just an experimental project.
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