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Image Classification with Amazon SageMaker

Project Overview

This project demonstrates the use of Amazon SageMaker for training and deploying an image classifier. The focus is on the IIIT-Oxford Pets Dataset, which includes 37 breeds of dogs and cats. We utilize SageMaker's image classification algorithm to build a model capable of accurately classifying these breeds.

Learning Objectives

1. Data Preparation

  • Task: Prepare the IIIT-Oxford Pets Dataset for SageMaker's Image Classifier.
  • Approach: Preprocess the images to conform to the model's input requirements.

2. Model Training

  • Task: Train the image classification model using SageMaker.
  • Approach: Utilize SageMaker's computational capabilities to achieve high accuracy in breed identification.

3. Model Deployment

  • Task: Deploy the trained model on SageMaker.
  • Approach: Enable real-time image classification, demonstrating the model's ability to distinguish between different dog and cat breeds.

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