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!.
Zero-shot vector sketch generation via GMM prior flow in CLIP latent space
Farms GitHub achievements via backdated commits, coauthored PRs, and seeded discussions on your repos.
🏆 Explore GitHub achievements and profile badges in 25 languages. Compare unlock requirements, tiers, availability, retired awards, experimental badges, and internal Proxima achievements, with source-backed explanations and historical artwork in one searchable catalog.
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.
Implementation of Quickdraw - an online game developed by Google
Selected computer vision projects covering camera calibration, image processing, segmentation and CNN-based image classification.
To associate your repository with the quickdraw topic, visit your repo's landing page and select "manage topics."