Project Setup and Development Environment

Before building an Image Classification System, it is important to understand the tools, libraries, and dataset used throughout the project. A properly configured environment makes it easier to load image data, train deep learning models, and visualize the results.

This project is developed entirely in Google Colab, allowing learners to build and train deep learning models without installing additional software. We will use TensorFlow, Keras, NumPy, and Matplotlib to create and evaluate the image classification models.

Before starting this project, make sure you have access to the following:

Google Colab

Google Colab is a cloud-based notebook that allows you to write and execute Python code directly in your browser. It provides free computational resources and comes with popular deep learning libraries pre-installed.

Google Account

A Google account is required to access Google Colab and save your notebooks to Google Drive.

Basic Python Knowledge

Learners should be familiar with:

• Variables
• Functions
• Loops
• Lists
• Basic Python syntax

Basic Machine Learning Knowledge

Although not mandatory, it is helpful to understand:

• Neural Networks
• Classification
• Training and Testing Data
• Model Evaluation

Since this project uses Google Colab, there is no need to install Python or additional software.