Welcome to Part 9 of the Master Real-Time Object Detection with YOLO in C# series!
In this lecture, we achieve super-fast object detection using Tiny YOLO, optimized for real-time applications on CPU and GPU.
Whether you're building a surveillance system, AI video analytics, traffic monitoring, or enterprise vision apps, Tiny YOLO gives you high FPS and lightweight performance without sacrificing accuracy.
🔥 What You Will Learn Today
What makes Tiny YOLO extremely fast
Loading YOLO Tiny model (weights + cfg)
Running real-time detection at high FPS
Using Non-Maximum Suppression (NMS)
Improving detection speed on CPU
GPU acceleration options
Full C# code to run Tiny YOLO
📌 Why Tiny YOLO?
Tiny YOLO is perfect when you need:
Fast inference
Low-power devices
Smooth camera feed processing
Real-time analytics
Ideal for:
CCTV / Security apps
AI dashboards
Robotics
Smart classrooms
Motion detection
Industrial automation
📂 Download YOLO Tiny Files
You will need:
yolov3-tiny.cfg
yolov3-tiny.weights
coco.names
📘 Complete Course Playlist
• YOLO Object Detection in C# – Full Course ...
💬 Need help or want custom AI/Computer Vision development?
Contact us anytime — we build full professional solutions.
Code link https://github.com/mariakhala/YOLOIma...
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