akhilkailas017/object-detection-using-yolov5

This repository teaches you how to train your own image dataset using yolov5 model. To know more download the rar file in this repository and extract it.

Hi there! I'm Akhil Kailas

Welcome to my GitHub profile. This is where I showcase my projects and share my passion for coding. Feel free to explore, collaborate, or get in touch with me if you have any questions or suggestions.

Skills

I am proficient in the following technologies:

• Frond End Development
• JavaScript
• Php
• MySQL
• Python

Projects

Here are some of the web development projects you can find in this repository:

1. Digital Passport Verification System Using Blockchain: The Digital Passport Verification System is a web-based applicationdeveloped using Solidity, ReactJs, and EtherJs technologies. This project aims to enhance the security and efficiency of passport verification processes by leveraging the decentralized nature of blockchain technology. View File

2. Floor Mat Detection and Classification: The Floor Mat Detection and Classification project is a Python-based application developed using the YOLOv5 algorithm. The purpose of this project is to accurately detect and classify different types of floor mats in real-time. View File

3. Gym Management Website: The Gym Management System Website is a comprehensive web application designed to efficiently manage and monitor the timetable and attendance of individuals using a gym facility. Developed using HTML, CSS, JavaScript, and PHP, this website provides a user-friendly interface for both gym administrators and members. View File

You can find more projects on my GitHub repositories page.

Contact Me

If you want to get in touch, you can reach me through the following channels:

• Email: [email protected]
• LinkedIn: akhilkailas017
• Instagram: akhilkailas_

Contributions

I welcome contributions to my projects. If you have any ideas for improvements or bug fixes, please feel free to create issues or submit pull requests. Together, we can make these projects even better!

Acknowledgments

I want to express my gratitude to the entire web development community for inspiring and motivating me to learn and grow. Thank you for visiting my profile, and happy coding! 🚀