Kitchen Utensils Image Classification Project

This project focuses on building a kitchen utensils image classification system using Convolutional Neural Networks (CNNs). The goal is to classify images of various kitchen utensils into predefined categories. The project is containerized with Docker and managed with Kubernetes (K8s) for scalability and easy deployment.

Table of Contents

• Introduction
• Project Structure
• Prerequisites

Introduction

Kitchen utensils image classification is a common problem in computer vision. This project demonstrates how to create, train, and deploy a CNN model to classify images of kitchen utensils, such as knives, forks, spoons, and spatulas. The model is capable of distinguishing between different utensil categories with high accuracy.

Project Structure

The project structure is organized as follows:

• data/: Contains training and testing datasets. 
• models/: Stores pre-trained models and model checkpoints. 
• docker/: Docker configuration files for containerization. 
• kube-config/: Kubernetes yaml files for deployment and scaling.

Prerequisites

• Python 3.7+ 
• TensorFlow 
• Docker (for containerization) 
• Kubernetes (for cluster deployment and management)