Image Classification with SageMaker

Simple image classification using AWS SageMaker to train and deploy a model in the cloud.

Overview

This project demonstrates how to build and train an image classification model using Amazon SageMaker. The Jupyter notebook runs on AWS infrastructure with data stored in S3.

Contents

• ImageClassification.ipynb — Main training notebook

Architecture

• Compute: AWS SageMaker (managed ML instances)
• Storage: Amazon S3
• Runtime: Jupyter Notebook via AWS Console

Usage

1. Upload the notebook to AWS SageMaker
2. Configure the S3 bucket for training data
3. Run all cells

Dependencies

• AWS account with SageMaker access
• S3 bucket for data storage