YOLO+

 

The Most Comprehensive YOLO Object Detection Course

From YOLOv3,v4,v5,R,X,v7,v8,NAS...and beyond!

 

ENROLL

 

YOLO is the most Popular Object Detection Architecture.

 

The problem is that a new version of

YOLO

can be released at any time!

 

 

The next version can be released in the next: 

Year, month...

week?

Introducing YOLO+

Introducing

YOLO-NAS + v8

YOLO+

Get all Current & Future YOLO Courses

Stay Relevant with YOLO+

 

We've got your back when the next version of YOLO gets released! Upon release, we will begin lecture production to ensure that you are able to implement the latest version of YOLO, train, convert, optimize and deploy models for accelerated hardware. On top of that, you will be able to build applications to solve real-world problems with the latest YOLO!

ENROLL

Curriculum

YOLOv3 Object Detection Course

Module 1 Quickest Way to Run YOLOv3

Module 2 Data Collection,

Module 3 Annotation and Management

Module 4 Training & Optimized

Module 5 Workflow Model

Module 6 Deployment

Module 7 Post-Processing

Module 8 Model Fine-Tuning

Module 9 Maintenence.

YOLOv4 DarkNet, 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

Module 1 YOLOv5 Detection Strategy

Module 2 Dataset Collection

Module 3 Data Augmentation

Module 4 Exporting the Dataset in YOLO Format

Module 5 Training YOLOv5 AutoML

Module 6 Training Host Web API

Module 7 Custom YOLOv5 Deployment 

YOLOX Computer Vision Dashboard

Module 1 YOLOX Intro + Basics

Module 2 YOLOX Inference

Module 3 YOLOX Training

Module 4 YOLOX + Tracking

Module 5 4-YOLOX Projects

Module 6 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

Module 7 Modern UI Dashboard Design New

YOLOR Detection, Tracking & Build 18 Apps

Module 1 YOLOR Intro + Theory

Module 2 YOLOR Inference

Module 3 YOLOR Training

Module 4 YOLOR + Deep Tracking

Module 5 YOLOR StreamLit UI

Module 6-7 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

YOLOv7 Full Stack Object Detection Course

Module 1 YOLOv7 Intro + Theory

Module 2 Training Custom YOLOv7

Module 3 YOLOv7 + Tracking

Module 4 Flask Integration  

Module 5 Model Conversion  

  • ONNX,
  • PyTorch,
  • TensorRT,
  • DeepSparse,
  • CoreML

Module 6 YOLOv7 Apps 

  • App 1 - Security with Dashboard
  • App 2 - Mining Safety Check
  • App 3 - Retail Heat Maps
  • App 4 - Agriculture Count Fruit
  • App 5 - Traffic, Vehicle Counting, Tracking, and Speed Calculation
  • App 6 - License Plate Recognition with Dashboard - Easy OCR
  • App 7 - Gaming Aimbot with YOLOv7
  • App 8 - Whiteboard Drawings to Web page generation using YOLOv7.
  • App 9 - Heart Rate Measurement 

Module 7 Pose Estimation 

Module 8 Object Segmentation 

Module 1YOLO-NAS + v8 Introduction

Module 2
Training Custom YOLO-NAS + v8

Module 3
Object tracking on YOLO-NAS + v8

Module 4
Model Conversion 

Module 5
Flask Integration

Module 6
YOLO-NAS + v8 Flask App

  • Retail Heatmaps
  • Mining Safety Check
  • Plastic Waste Detection
  • Smoke Detection
  • GS-CO Gaming Aimbot

Module 7

Mobile Development Using Kivy

  • Introduction to Mobile Development
  • Setting up Kivy Application
  • Setting up a Dashboard
  • Integrating YOLO-NAS + v8 with Kivy
  • Conversion to TFlite
  • Widgets and Buttons in Kivy
  • Deployment and Testing
  • Building and distributing the app
  • Updating the UI/UX and wireframes for the App

Module 8

Mobile Apps

  • Document Scanner
  • Sign-language Recognition
  • People Counting over Time
  • Bar Graph Widget Visualization

Module 9

Object Segmentation

  • Introduction to Object Segmentation
  • Setting up the Object Segmentation model
  • Data Collection, Annotation, & Health Checker
  • Data Pre-processing and Augmentation
  • Training on GPU and deployment
  • Crack detection and measuring the pixel size 
  • YOLO-NAS + SAM Segmentation
Download Full Curricullum

Projects

Pose Estimation

Full-Stack Apps

Social Distancing

Aim-Bot

Apples Center-Stage

Text Detection & OCR

Push Up Counter

Hard Hat Detection

Card Counting

Car Trajectory

Web-Page Generation

Fruit/Plant Detection

Mask Detection

Parking Space 

Drowsy Detection

Chess Piece Detection

Plates Recognition

Lane Detection

Intrusion Detection

Car Velocity

Bonus

U-Net Object Segmentation 

Course

Become a U-Net Object Segmentation Specialist in just 4 Weeks.

  1. Introduction - U-Net Architecture Implementation
  2. Training - U-Net Data processing and augmentation
  3. Inference - Data loading, prediction, and evaluation.
  4. Advanced Topics - ResNet50, MobileNet V2, CBAM.
  5. Apps - Brain Tumor, Polyp, Road pothole segmentation

Learn More >

Project Files

100 Hours+ Content

Beginner Friendly

Certificate

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

  • 112k+ Subscribers  YouTube

  • 71k Students Augmented Startups

  • M(Eng.) Electronic University of Joburg

  • 31k Followers LinkedIn

Pricing

00

DAYS

00

HOURS

00

MINS

00

SECS

YOLO+

$147

🔥Per Year🔥

YOLOv3 Course [$99]

 YOLOv4 Course [$199]

YOLOv5 Project [$99]

YOLOR PRO + Apps [$379]

YOLOX PRO + Dashboard [$299]

 YOLOv7 PRO Full-Stack [$379]

 YOLOv8 [$497]

 YOLO-NAS [$599]

 

  U-Net Object Segmentation Course

  15 Roboflow Training Credits

  YEARLY ACCESS to all YOLO Courses

  Technical Support via Chat

  ACCESS Anywhere, Anytime on the Web or through the Kajabi app (iOS & Android)

  WhatsApp, Discord & Facebook Community

  Certificate of Completion

 

[Normal Price $2550]

$12.2 per month, paid annually

ENROLL

FAQ

Still Have Questions?

Contact me personally:

Testimonials

ENROLL