ML Image Classifier
machine-learning
computer-vision
neural-networks

ML Image Classifier

Build an image classification model using TensorFlow.js to identify objects in images

Time Breakdown

Planning: ~2 hours
Coding: ~5 hours
Testing: ~3 hours

Difficulty: Advanced Challenge

ML Image Classifier

Create an image classification application using TensorFlow.js and pre-trained models.

Example Code

import * as tf from '@tensorflow/tfjs';
import * as mobilenet from '@tensorflow-models/mobilenet';

async function classifyImage(imageElement) {
  const model = await mobilenet.load();
  const predictions = await model.classify(imageElement);
  return predictions;
}

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Learning Outcomes

  • Understanding neural networks
  • Working with pre-trained models
  • Image processing
  • Model deployment
  • Real-time predictions

Project Requirements

Progress Tracker

0 of 7 completed
  • Load pre-trained model
  • Process image inputs
  • Display predictions
  • Handle multiple image formats
  • Implement confidence threshold
  • Add real-time webcam support
  • Export model results

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