<h2>Introduction</h2>
<p><img src="/images/cardImages/vision-1.png" alt="App 1"></p>
<p>This project showcases the power of AI-driven computer vision technology, allowing users to extract and analyze object references from images. Designed as a small yet impactful demonstration, the application enables any registered user to experience firsthand how AI systems perform in recognizing and detecting objects with accuracy.</p>
<p>The purpose of this project is to integrate multiple AI systems seamlessly into a single, user-friendly web application. By providing an accuracy score for each image, users can evaluate the system's performance and explore the effectiveness of AI in detecting prominent objects in diverse images.</p>
<h2>Utility</h2>
<p><img src="/images/cardImages/vision-2.png" alt="App 1"></p>
<p>Understanding how computer vision algorithms interpret object relationships within images is crucial for designing efficient prompts and reverse engineering image analysis processes. Factors such as object positioning, prominence, and detection accuracy play a significant role in generating high-quality image prompts. This tool serves as a practical way to observe and analyze these key elements.</p>
<h2>Future Releases</h2>
<p>Future updates will introduce a dynamic prompt-building feature. This will include various configurations related to spatial arrangements, object relationships, and stylistic preferences, allowing users to experiment with and customize their image prompts more effectively.</p>


AI Vision

Introduction

Utility

Future Releases