YOLOR
Object Detection PRO
A Course on how to Implement, Train & Deploy YOLOR Object Detection and Build 18+ AI Apps.
ENROLLYOLOR is Accurate!
3.8%
More Accurate than P-YOLOv2 & YOLOv5
88%
Faster than Scaled YOLOv4


Be Ahead of the Competition
Everybody is using YOLOv4/v5 - Get yourself ahead of the pack with YOLOR & Get Superior Results!

Code

8 Hours+ Content

Beginner Friendly

Lifetime Access
Modules

Module 1
Getting Started
Run YOLOR on:
- Introduction to YOLOR
- Set up Dependencies
- Run YOLOR on:
- Windows 10/11
- Ubuntu
- Colab
- Image, Video & WebCam
Module 2
Training Custom YOLOR
- Data Collection
- Data Augmentation
- Dataset Bias & Health
- How to tune your training parameters
- How to analyze your model performance
- Active learning for faster automated annotation

Module 3
YOLOR + Tracking
- Multi-Object Tracking (MOT)
- What is DeepSORT and How it works.
- Integrating YOLOR with DeepSORT
Module 4
StreamLit Web-App
- Why StreamLit?
- StreamLit Basics
- StreamLit + YOLOR Integration
- YOLOR StreamLit on Images
- YOLOR StreamLit on Video
- YOLOR StreamLit Analytics UI


Module 5
YOLOR App Development
- App 1 - Card Counting
- App 2 - Intrusion Detection
- App 3 - Visual Code Generation
- App 4 - Weed/Plant Detection
- App 5 - Apple Center Stage
- App 6 - Text Detection and OCR
- App 7 - Push Up Detection
- App 8 - Hard Hat Detection
- and many more..
Apps

Card Counting

Fruit/Plant Detection

Intrusion Detection

Visual Code Generation with YOLOR/v7

Apples Center-Stage

Text Detection & OCR

Push Up Counter

Hard Hat Detection

Bonuses
YOLOX Dashboard
End-to-End Traffic Flow Web App
- Dashboard Basics
- Plotly Dash fundamentals
- Dash User Interface Planning
- HTML Elements
- Dash Core Components
- Visualisations - UI Widgets
- Visualizations - Graphs
- Visualizations - Pie Charts & Sunburst Charts
- Bootstrapping Dash
- Layout Design & Styling
- Putting it all together - YOLOX + Tracking Inference Integration in Dashboard
- Enhancing the Dashboard
- Deploy Solution
- Code for all projects
- Datasets for all projects
- Models for all projects
Curriculum
Module 0 - Introduction
Module 1 - Implementation
Module 2 - Training
Module 3 - Object Tracking
Module 4 - StreamLit Web-App
Module 5 & 6 - App Development
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
-
100k+ Subscribers - YouTube
-
70k Students - Augmented Startups
-
M(Eng.) Electronic - University of Joburg
Pricing
One Day Only Promo Ends in:
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FAQ
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YOLOR
Object Detection PRO
A Course on how to Implement, Train & Deploy YOLOR Object Detection and Build 18+ AI Apps.
ENROLL