teachable-machine-boilerplate

Boilerplate code for Teachable Machine

boilerplatedeeplearnjs

Preview

teachable-machine-boilerplate preview

Overview

This boilerplate demonstrates how to build browser-based image classification using TensorFlow.js, combining MobileNet for feature extraction with a KNN classifier for custom training. It lets users train custom image categories live from webcam input with minimal samples by leveraging transfer learning, making it suitable for applications like gesture recognition, facial expression detection, or simple object classification without server infrastructure.

Features

webcam-integrationreal-time-classificationtransfer-learningknn-classifiermobilenet-model

Feature Flags

ecommerceauthorizationai

Recommended Use Cases

image-classificationgesture-recognitionpose-detectioncustom-model-training

Frontend

tensorflow.jsmobilenetknn-classifier

Backend

None

Auth Providers

None

Deployment Targets

browser

Payment Providers

None

Quick Facts

โญ Stars
519
๐Ÿด Forks
164
๐Ÿ”„ Active
Unknown
๐Ÿ•’ Last Commit
2018-10-03T13:54:29.000Z

Stack

Language
javascript

Data Layer

UI Stack

Developer Experience

Docker
No
Tests
No
Quickstart
Yes
env.example
No

Pricing

Classification
free
Selected
โ€”
Notes
Open source boilerplate
Get Started with this Boilerplate