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Become a YOLO Expert
- YOLOv3
- YOLOv4
- YOLOv5
- YOLOX
- YOLOR
Code
35 Hours+ Content
Beginner Friendly
Lifetime Access
YOLO Courses
YOLOv3
Training to Inference
- Quickest Way to Run YOLOv3
- Data Collection, Annotation and Management
- Training & Optimized Workflow
- Model Deployment
- Post-Processing & Maintenence.
YOLOv4
DarkNet Inference + Training + PyQt App Development
- Module 1 - Setting up YOLOv4
- Module 2 - Real-Time Inference
- Social Distancing Project
- Mask Detection Project
- DeepSORT Object Tracking
- Module 3 - Training YOLOv4
- Data Annotation and Tools
- Data Augmentation with Rotational Transform
- Pre-Training Configuration
- Fine-Tuning the Model
- How to analyze your model performance
- Active learning for faster automated annotation
- Multi-GPU Training
- Module 4 - PyQt App Development
- PyQt Crash Course
- Integrating YOLOv4 with PyQt
- Social Distancing + Mask Detection GUI with PyQt
YOLOv5
Chess Piece Detection Project
- YOLOv5 Chess Piece Detection Strategy
- Dataset Collection
- Data Augmentation
- Exporting the Dataset in YOLO Format
- Training YOLOv5
- AutoML Training
- Host Web API Inference
- YOLOv5 Inference in Google Colab
YOLOX
Traffic Analytics Dashboard
- Module 0] YOLOX Intro + Basics
- [Module 1] YOLOX Inference
- [Module 2] YOLOX Training
- [Module 3] YOLOX + Tracking
- [Module 4] 4-YOLOX Projects
- [Module 5] YOLOX Full-Stack Computer Vision Dashboard:
- [Section 1] - Dashboard Fundamentals
- [Section 2] - User Interface (UI) Planning
- [Section 3] - HTML Elements
- [Section 4] - Graphs, Charts & UI Widget
- [Section 5] - Bootstrap Dash
- [Section 6] - Layout Design & Styling
- [Section 7] - Computer Vision Integration
- [Section 8] - Dash Enhancement
- [Section 9] - Deploy AI Web-app Solution
- [Section 10] - Moving Forward with Dashboards
YOLOR
Detection + Tracking + Build 18 Apps
- [Module 0] YOLOR Intro + Theory
- [Module 1] YOLOR Inference
- [Module 2] YOLOR Training
- [Module 3] YOLOR + Deep Tracking
- [Module 4] YOLOR StreamLit UI
- [Module 5-6] YOLOR App Development
- [Project 1] - License Plate Detection
- [Project 2] - Lane Detection
- [Project 3] - Car Counting on Lane
- [Project 4] - Car Trajectory
- [Project 5] - Car velocity Calculation
- [Project 6] - Traffic Counter
- [Project 7] - Open Parking Space Detection
- [Project 8] - Mask Detection
- [Project 9] - Measure Object Size
- [Project 10] - Drowsiness Detection
- [Project 11] - Black-Jack Card Counting
- [Project 12] - Apple CenterStage
- [Project 13] - Text Detection & OCR
- [Project 14] - Push-up Counter
- [Project 15] - Hardhat Detection
- [Project 16] - Intrusion Detection
- [Project 17] - Weed Detection
- [Project 18] - NumberPlate Recognition
Projects
Card Counting
Car Trajectory
Visual Code Generation
Fruit/Plant Detection
Mask Detection
Open Parking Space Detection
Drowsiness Detection
Chess Piece Detection
License Plate Detection
Lane Detection
Intrusion Detection
Car Velocity Calculation
Apples Center-Stage
Text Detection & OCR
Push Up Counter
Hard Hat Detection
Certification
Once you complete the course, you will graduate with an Official Certificate embedded with a unique ID that you can share on LinkedIn.
Your Instructor
Ritesh Kanjee
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99k Subscribers - YouTube
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71k Students - Augmented Startups
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M(Eng.) Electronic - University of Joburg
Bundle Pricing
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Payment Plan
FAQ
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