Git Product home page Git Product logo

deploy-model's Introduction

doodle_classifier

This is a CNN model which can predict doodles belonging to 5 classes (star, sun, moon, rainbow and cloud). I've created the CNN in keras and for deployment in the browser I used flask server. Front end stuffs are done by HTML, CSS, native JS and jQuery.

This web app supports two modes to input a doodle.

i) drawing on the canvas.

ii) uploading a predrawn doodle.

Data Source : I've used google's quick draw dataset for this project.

Video

https://www.youtube.com/playlist?list=PLM8wYQRetTxCPEtBi03-svODQsx704xtx

GIF for Demostration

github

Images for Demonstration

Fisrt look

alt text

Drawing in the browser

alt text

Uploading a pre-drawn doodle

alt text

deploy-model's People

Contributors

suji04 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.