YOLO: Custom Object Detection & Web App in Python

🌟 Course Title: YOLO: Custom Object Detection & Web App in Python

Welcome to 'YOLO: Custom Object Detection & Web App in Python' 🚀

Object Detection is a cornerstone of modern Computer Vision applications, enabling machines to identify and classify objects within images. In this course, we delve into the powerful YOLO (You Only Look Once) algorithm, which stands out for its speed and accuracy, making it an ideal choice for real-time object detection.

Course Overview:

YOLO has been instrumental in various applications, from detecting traffic signals to identifying people, parking meters, and animals. This course is meticulously designed to guide you through both the object detection process with a custom dataset and the development of a user-friendly web application interface. Additionally, we'll deploy our trained model on a cloud platform, rounding out your practical skills in this domain.

Course Structure:

1. Theoretical Foundations & Practical Applications 📚

   • History and evolution of Object Detection
   • Understanding Object Detection Metrics: IoU, Precision, mAP, etc.
   • Mathematical concepts behind YOLO and its advancements over time

2. Data Preparation for YOLO Model 📊

   • Hands-on Practice: Prepare your data with Python and pandas dataframes
   • Thumb rules to follow when collecting data
   • Labeling images using the LabelImg tool
   • Parsing XML files: Extracting filename, size, and bounding box information (xmin, xmax, ymin, ymax)
   • Processing data with pandas dataframes and splitting datasets into train/test sets

3. Training YOLO v5 Model 🧠

   • Setting up the environment for model training
   • Exploring the training process from scratch

4. Developing a Web App in Python 🚀

   • Introduction to web app development with Streamlit
   • Integrating your trained YOLO model into the web application
   • Designing a user-friendly interface to interact with your model

What's Inside:

• Complete Course Resources: All code, images, and weights used in the course are available for download.
• Real-world Scenarios: Learn through practical examples and projects.
• Hands-On Project: Train a custom YOLO v5 model and deploy it within a web application.
• Cloud Deployment: Understand how to deploy your model on a cloud platform, making it accessible from anywhere.
• Capstone Project: By the end of this course, you'll have a fully functional custom object detection web app, ready for deployment or integration into your own projects.

What You Will Gain:

• A deep understanding of YOLO and its applications in real-time object detection.
• Practical experience in preparing and labeling datasets for model training.
• Skills to train a state-of-the-art YOLO v5 model from scratch.
• The ability to develop interactive web applications using Python and Streamlit.
• A portfolio-boosting certificate upon course completion.

Join us on this journey to master custom object detection and web application development with Python. Whether you're a beginner or an advanced practitioner, this course will equip you with the tools and knowledge necessary to push the boundaries of what's possible with object detection and machine learning. 🤓✨