AI Bauchi 6 Weeks Computer Vision Bootcamp

Welcome to the AI Bauchi 6 Weeks Computer Vision Bootcamp repository! This repository contains resources and materials for our intensive 6-week bootcamp aimed at equipping participants with essential skills in Computer Vision using Python and Deep Learning frameworks.

About the Bootcamp

The AI Bauchi Computer Vision Bootcamp is designed to provide hands-on experience in:

• Understanding the fundamentals of Computer Vision
• Implementing image processing techniques using OpenCV
• Building and training Artificial Neural Networks (ANNs) and Convolutional Neural Networks (CNNs) for image classification and object detection
• Exploring advanced topics such as image segmentation, object tracking, and GANs for image generation

Instructors

• Nathaniel Handan GitHub Profile
• Amina Sheega GitHub Profile
• Stanley Ogochukwu GitHub Profile
• Wisdom Matehew GitHub Profile
• Rufia Yusuf
• Neo

Syllabus

Our syllabus covers a comprehensive range of topics from basic to advanced Computer Vision techniques. See the detailed syllabus here.

How to Use This Repository

• Clone the repository to your local machine:

  git clone https://github.com/AIBauchi/AIBauchi-Computer-Vision-Bootcamp.git

• Explore the folders for session materials, including lecture notes, code examples and datasets.

• Refer to the README.md files within each session folder for specific instructions and resources.

Getting Started

To get started with the bootcamp, ensure you have the following prerequisites:

• Basic knowledge of Python programming
• A computer system running Windows 8 or higher (or equivalent)
• Stable internet connection

Join Us

Interested in joining our bootcamp? Register here and kickstart your journey into Computer Vision!

For any questions or inquiries, feel free to reach out to us or open an issue in this repository.

Let's dive into the world of Computer Vision together!