Project Overview:

Welcome to our Object Recognition Program Evaluation Tool, a repository designed to help you assess the performance of a computer program capable of recognizing objects in images. To utilize this tool, you’ll need a labeled dataset, a collection of images with labels indicating the objects they contain.

Our tool leverages this labeled dataset to evaluate the effectiveness of your program. Additionally, you’ll need to provide an inference API, enabling the program to process the images you supply. The tool will then provide you with general information and evaluation metrics, scores that indicate the performance of your program. With minimal setup required, our tool is user-friendly and easy to use.

Project Results:

Our contribution to the project involved designing and developing the frontend, and we’re proud to share the impressive results:

• A visually appealing and engaging user interface that adheres to the best practices of user experience design.
• Clean and well-structured HTML and CSS codebase, featuring consistent styling and well-organized files and folders.
• A functional and interactive frontend, boasting features such as responsive design, smooth animations, and dynamic content loading.
• High compatibility and cross-browser support, ensuring the frontend functions optimally across various devices and browsers.
• Seamless integration with the application’s backend, facilitating smooth communication and data transfer.
• A robust and well-documented codebase, featuring clear and concise comments and documentation, making it easy for other developers to understand and modify the frontend as needed.