Detecting and Classifying Object Images Using Ruby - Digital Image Processing with AI

Overview

Discover how to implement object detection and image classification using Ruby, exploring deep learning techniques for digital image processing and AI applications.

Syllabus

• Introduction to Digital Image Processing
Basic concepts and terminology
Overview of image formats and data representation
• Setting Up the Development Environment
Installing Ruby and necessary libraries
Introduction to Ruby Image Processing libraries
• Basics of AI and Machine Learning
Overview of AI and its applications
Introduction to machine learning and deep learning concepts
• Introduction to Computer Vision
Concepts of computer vision in AI
Applications in object detection and image classification
• Working with Image Data in Ruby
Loading and preprocessing image data
Performing basic image transformations
• Deep Learning Frameworks and Tools
Overview of deep learning frameworks (TensorFlow, PyTorch)
Using Ruby bindings for deep learning (e.g., TensorFlow.rb)
• Object Detection using Deep Learning
Understanding object detection techniques
Implementing simple object detection models in Ruby
• Image Classification Techniques
Overview of image classification with deep learning
Building image classification models in Ruby
• Training and Evaluating AI Models
Preparing datasets and training models
Evaluating model performance and accuracy
• Advanced Object Detection Techniques
Using pre-trained models and transfer learning
Implementing advanced algorithms such as YOLO, SSD
• Integration and Deployment
Integrating models with Ruby applications
Deploying AI models for real-world applications
• Case Studies and Practical Applications
Analyzing real-world applications and use cases
Hands-on project: Building a complete object detection or classification system
• Ethical Considerations and Best Practices
Understanding ethical implications in AI
Best practices for responsible AI usage
• Course Review and Future Directions
Recap and course highlights
Exploring future trends in AI and computer vision with Ruby

Subjects

Programming