Books / Object Detection / Book 2
Practical Object Detection
with YOLO
Training Models on Real-World Datasets
Move beyond benchmark datasets and learn how to collect, adapt, and train detection models for real-world, domain-specific applications.
What You'll Learn
- Analyze real-world detection problems and domain-specific datasets
- Build reliable training pipelines for practical detection tasks
- Adapt pretrained models to new domains through transfer learning
- Improve detection performance for challenging real-world scenarios
- Develop end-to-end detection workflows for deployment
What the Book Covers
02 · Domain-Specific Dataset Collection
03 · Transfer Learning Fundamentals
04 · Building a Reliable Training Pipeline
05 · Adapting Models to New Domains
06 · Improving Performance on Challenging Data
07 · Developing Deployment-Ready Workflows
Who This Book Is For
This book is intended for readers who have completed Book 1 or already have a working detection pipeline, and are ready to work with real-world, domain-specific data. It is particularly suitable for:
- Readers who finished Book 1 and want practical experience
- Engineers adapting pretrained models to new domains
- Practitioners working with challenging, real-world detection scenarios
- Readers preparing to continue to Book 3
Companion Resources
The book includes supporting resources that help connect the concepts discussed in the book with practical implementation — transfer learning and domain adaptation materials, training configuration examples, evaluation checklists, benchmarking utilities, validation scripts, and real-world deployment workflows. Included with the book purchase. See the Companion Resources page for delivery details.
Part of the Object Detection Track
Ready to Start?
Practical Object Detection with YOLO
Training Models on Real-World Datasets
PDF • 59 pages • Companion Resources Included