Image Prediction AI/ML Project with ImageAI

Introduction

Welcome to the Image Prediction AI/ML project using ImageAI! In this project, we'll explore the exciting world of Artificial Intelligence (AI) and Machine Learning (ML) by building a simple image prediction model.

Have you ever wondered how computers can "see" and identify objects in images? This project will take you on a journey into the realms of AI and ML, unraveling their basic concepts and showing you how to create your own image prediction model.

Getting Started

Prerequisites

Before you begin, make sure you have the following:

• Python: Basic knowledge of Python programming and Python 3 or later verison installed
• ImageAI Dependencies: Install dependencies from the requirments.txt and requirements_gpu.txt docs using pip install -r requirements.txt.
• ImageAI Library: Install it using pip install imageai.
• Images: Gather the images you want to perform predictions on.

Objectives

By the end of this project, you will:

• Understand the basics of AI and ML.
• Use ImageAI's pre-trained models for image prediction.
• Interpret predictions and probabilities generated by the model.

Usage

Follow these simple steps to create your image prediction model:

Step 1: Import necessary libraries and set the execution path

Step 2: Choose your desired algorithm and load the model

Choose one of the available algorithms and load the corresponding model

Step 3: Perform image prediction

Replace "house.jpg" with the path to the image you want to predict, and run the prediction code

Read more about ImageAI here - https://github.com/OlafenwaMoses/ImageAI