YOLOR is the Best!
3.8%
More Accurate than P-YOLOv2
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
- Windows 10/11
- Ubuntu
- Colab
Module 2
Training Custom YOLOR
- Data Collection
- Data Pre-processing
- 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
Apples Center-Stage
Text Detection & OCR
Push Up Counter
Hard Hat Detection
Bonuses
Curriculum
Module 0 - Introduction
Module 1 - Implementation
Module 2 - Training
Module 3 - Object Tracking
Module 4 - StreamLit Web-App
Module 5 - App Development
Your Instructor
Ritesh Kanjee:
-
100k+ Subscribers - YouTube
-
71k+ Students - Augmented Startups
-
M(Eng.) Electronic - University of Joburg
Pricing
Early Bird Special Ends in:
00
DAYS
00
HOURS
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MINS
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SECS
FAQ
When will the Course be Released
Will I have lifetime access to this course?
What happens once I buy this course?
This course is WRONG for you if…
This course is RIGHT for you if…
“Price is too much I can’t afford it…”
Should I enroll if I'm a beginner?
Should I enroll if I am a seasoned developer?
Why do I have to pay for YOLOR?
What GPUs do you recommend for the course?
Can I use AMD or any other GPU card?
Why code in Python?
Which Option should I choose?
Which Operating System is this course for?
Will I learn how to build YOLOR from scratch?
I have another question.
Will I receive a certificate for this training?
Is there a Refund Policy?
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