What You'll Gain

• Practical CV foundations: image data, augmentation, and evaluation
• Understanding CNN-based workflows and modern vision pipelines
• Project patterns for classification, detection (conceptual), and quality control

Why Choose This Book

Computer vision projects fail without good data practices. This book focuses on datasets, evaluation, and practical workflows—so you build models that work reliably.

Who Should Read This Book

ML learners and practitioners building image classification or visual inspection systems.

Outcome

Build computer vision pipelines with strong data preparation, training habits, and evaluation discipline.