YOLO Candy Detector: Building a Computer Vision Project from Scratch 🍬
In this video, I walk through my complete open-source project yolo-candy-detector – a modular, scalable computer vision system built using YOLO for real-time object detection. Whether you're a beginner looking to understand CV projects or an experienced dev seeking inspiration, this deep dive covers architecture, implementation, and results
🚀 GitHub Repository: https://github.com/vidhi-sys/yolo-can...
📖 Chapters:
0:00 - Introduction & Demo
1:30 - Project Overview & Goals
3:45 - System Architecture
6:20 - Core Modules Explained (Stalker, Ying-shot, Twizzlers)
9:10 - Training Custom YOLO Models
12:35 - Performance Metrics & Results
15:00 - Code Walkthrough
18:40 - How to Contribute
20:00 - Final Thoughts
🛠️ Technologies Used:
YOLO (You Only Look Once) for Object Detection
Python
OpenCV
Modular Python Architecture
Custom Dataset Training
📊 Key Results:
0.94 [email protected] on custom validation set
Real-time inference support
Multi-class candy detection
🔗 Links:
GitHub Repo: https://github.com/vidhi-sys/yolo-can...
Refrence Credits : • How to Train YOLO Object Detection Models ...
🙌 How to Contribute:
This is an open-source project! Feel free to:
⭐ Star the repo on GitHub
🐛 Submit issues and feature requests
🔧 Open pull requests
📢 Share with your network
📌 Hashtags:
#ComputerVision #YOLO #Python #OpenSource #MachineLearning #AI #Programming #DeepLearning #ObjectDetection #TechProjects #Coding #Developer