Image Classification

Introduction

Image classification is a task in computer vision that labels an image with a predefined category (e.g. cat or dog)

MLH Global Hack Week: Create your first image classifier

• Workshop- Youtube Live
• figma slides

Build an image classification model and connect it to a webpage

GHW: Create a Teachable Machine Image Model

Teachable Machine- An easy introduction to image classification

Flask vs Water Bottle Classifer

Steps:

• Start a new “Image Project”
• Create labels for the categories you want to classify
• Add training data: Upload dataset or capture it via webcam
• Click “Train the model”
• Export the model (e.g., TensorFlow.js)
  • You will get the model.json, metadata.json, and model.weights.bin files
• Use the upload feature to host the model on Teachable Machine (e.g., model link)
• Integrate the model (using the link to the model) into your web app
• Deploy site to GitHub Pages Live Demo

Training a neural network on MNIST with Keras

• Tensorflow- Keras example

GHW: GHW Image Classifier

GHW IMAGE CLASSIFIER