YOLO NAS + v8

Full-Stack Computer Vision

Course

Master computer vision with YOLO in 4 weeks with our YOLO-NAS+v8 course - a one-time learning experience that stays relevant forever!!

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Join students from top institutions

YOLO-NAS is the fastest & accurate Object Detection

Model

The last YOLO course you'll ever need

Say goodbye to the cycle of endless updates using our Modular ASOne Library

We've designed this course to be future-proof. If YOLOv9 or v10 had to be released, you can simply update your code to the YOLO latest version in under 2 seconds! This is all made possible with AS-One.

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I Sucked at Coding AI!

I know how it feels to be lost in the world of AI. I just graduated with a Master's in engineering, yet I sucked at coding AI.

It was a phase filled with frustration and feelings of inadequacy as I scrambled from one GitHub repository to another. Every bug I encountered felt like a personal failure, and just when I'd finally get a grip on a YOLO model, a new one would roll out, pushing me back to square one. It's exhausting and disheartening, I know.

Now, in this fast-paced AI world, where we see 3-4 new YOLO models emerging each year, the need for a resilient, adaptable learning solution has never been more pressing.

I don't want you to feel overwhelmed or inadequate - I've been there. That's why I'm committed to helping you navigate this challenging journey.

There had to be a better way...

...I didn't want to wait around for the industry to catch up with the challenges that the rapid evolution of YOLO was introducing.

Instead, I put my experiences and knowledge to work, investing countless hours in mastering AI & computer vision complexities and in creating the AS-One library.

We initially began with the renowned YOLOv8. But as YOLO-NAS emerged, the possibility for an enhanced curriculum revealed itself.

Making the most of our AS-One library, we promptly refreshed our GitHub repository, effortlessly merging YOLO-NAS into our course structure.

And so, our inclusive YOLO-NAS+v8 course came to life, exemplifying our pledge to flexibility, practicality, and lifelong learning.

Presenting

YOLO NAS + V8

Full-Stack Object Detection Course

Master computer vision with YOLO in 4 weeks with our YOLO-NAS course - a one-time learning experience that stays relevant forever!

Introduction - YOLO-NAS + v8 introduction
Training - Training custom YOLO-NAS + v8
Object Tracking - Object tracking on YOLO-NAS + v8
Model Conversion - PyTorch conversion to CoreML, DeepSparse, OpenVino, etc. with YOLOv8
Flask Integration - Flask Application setup, YOLO-NAS + v8 integration, and Front-end design.
YOLO-NAS + v8 Flask Apps - Retail Heatmaps, Mining Safety Check, Plastic Waste Detection, Smoke Detection, GS-CO Gaming Aimbot
Mobile Development Using Kivy Introduction, Setup, Dashboard setup, YOLO-NAS + v8 integration with Kivy, Widgets and Buttons in Kivy, Deployment and Testing, Bulding and Distributing the App, and Updating the UI/UX and wireframes for the App.
YOLO-NAS + v8 Mobile Apps - Introduction, Background Blurring, Documsnt Scanner, Sign-language Recognition.
Object Segmentation - Introduction, Setup, Data Collection, Annotation, Pre-Processing, Augmentation, Training on GPU , Crack detetction, and pixel-size measurement, YOLO-NAS + Segment Anything Model (SAM) Segmentation
Deployment - Docker Container Deployment, Deployment to Jetson Nano (Coming Soon)

What do others love about this Course?

Sean Kelly

Co-Founder and CTO Anisoptera

Without a doubt, the best content for computer vision I have worked through is detailed but simple. An actual step-by-step guide that provides a sound understanding of the underlying technology. Ritesh provides his content in a fun clear way and has built an excellent community of passionate people around him.

Tim Goebel

CEO | Iconic AI

This course is very informative. There is so much in the course that you can use a lot of it in real world. The main reason I wanted to take it was cause trails. I see many areas to use trails at. I recommend if you haven't taken it, you should.

Dragos Stan

CEO Business-data Systems Romania

YOLOR was and is the best practical course I could have chosen in Computer Vision. Not only did I learn the intricacies of training and using the model but also got a good experience and grip on developing my own sophisticated models based on detection, tracking, streamlit dashboard! Big thanks to Ritesh ( a very gifted trainer ) & Team for such a great job!

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Curriculum

Module 1

YOLO-NAS + v8 Introduction

Introduction to YOLO-NAS + v8
Architecture of YOLOv8 and comparison to other models
Running YOLO-NAS + v8 on Ubuntu
Running YOLO-NAS + v8 on Windows
YOLO-NAS + v8 Object Detection on Images, Videos, and Webcam in Google Colab
Common use cases for YOLO-NAS + v8
Fine-tuning pre-trained YOLO-NAS + v8 models

Module 2

Training Custom YOLO-NAS + YOLOv8

Training Process for both YOLO-NAS + v8
Custom Dataset Waste Sorting Detection
Data Pre-processing
Data Augmentation
Training, Testing, and Deploying Model on Roboflow
Using Roboflow models for AI data annotation
How to train YOLO-NAS
How to train YOLOv8

Module 3

YOLO-NAS + v8 Object Tracking

Introduction to Multi-Object Tracking (MOT)
YOLO-NAS + v8 with StrongSORT
YOLO-NAS + v8 with Bytetrack
YOLO-NAS + v8 with FairMOT
Integrating YOLO-NAS + v8 + tracking on Streamlit dashboard

Module 4

Model Conversion

Overview of model conversion
Setting up the environment for model conversion
Converting PyTorch models to CoreML
Converting PyTorch models to OpenVino
Converting PyTorch models to TensorFlow
Converting PyTorch models to TensorRT

Module 5

Flask Integration

Setting up Flask Application
Integrate YOLO-NAS + v8 with Flask
Designing Front-End

Module 6

YOLO-NAS + v8 Flask Apps

App 1 - Retail Heat Maps
App 2 - Mining Safety Check
App 3 - Plastic Waste Detection
App 4 - Smoke Detection
App 5 - CS-GO Gaming Aimbot

CS:GO 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

Introduction to Mobile Apps
App 1 - People counting over Time
App 2 - Document Scanner (using Easy-OCR)
App 3 - Sign-Language Recognition
App 4 - Bar Graph Widget Visualization

Module 9

Object Segmentation

Introduction to Object Segmentation
Setting up the Object Segmentation model
Data Collection, Annotation, and Health checker
Data Pre-processing and Augmentation
Training on GPU and deployment
Crack detection and measuring the pixel size.
YOLO-NAS + SAM Segmentation

Module 10

Deployment

Docker Container Deployment
Deployment to Jetson Nano

10 Hours+ Content

Code + Datasets

Beginner Friendly

Lifetime Access

(Limited Time Only)

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Student enrolled in our courses from :

What do industry leaders say about our program?

Emmanuel Oluga

Medical Design Innovations Lab at UTSA

Ritesh is truly one of the most Intelligent and resourceful Individuals I have ever met and collaborated on activities with. He is always enthusiastic about taking on challenges and providing actionable and effective solutions, whether it be in the field of Computer Vision, graphics, and Machine learning for practical applications or it is in any other field where an innovative approach to problem-solving is Indispensable. Most impressive and inspirational are his Communication, Interpersonal, and leadership skills that accentuate his technical expertise in the fields of Al and ML for Machine vision applications. These qualitative and quantitative skills and traits he possesses, position him well to thrive in any endeavor and environment.

Christopher Berry

Data Scientist at Alfred Health

You won't find courses with higher quality, I’ve done countless online courses from many different platforms and individuals but the courses produced by Ritesh and Augmented Startups are the best Computer Vision courses you’ll find. Their project ideas are extremely innovative, and they’re always implementing the latest state-of-the-art algorithms, so it’s no surprise that their models achieve elite results. My favorite project was the Heart Rate Detection and which achieved amazing FPS which is a testament to the quality of their code. I just enrolled in their YOLO+ course and I look forward to enrolling in future courses their team creates too.

Thank you, Ritesh, and Augmented Startups, all the best 😊

Chris

Constantin Shafranski

Data Scientist at Cognyte

As someone who has not yet dealt with image segmentation, I found this course to be quite helpful. It emphasizes the background theory appropriately, which I believe is quite crucial to get some idea of the topic and not "dive" straight into the coding part without actually understanding how things should operate. In addition, the course is designed in such a way that even someone who is not an expert AI coder may follow along without wondering "what the F* is going on here?". The instructions are clear, and the information is well-organized. A lot of the information regarding the entire process of building and preprocessing a custom dataset is also applicable to a variety of different tasks in the image domain, thus the course is also a very valuable source of reference.

GitHub

What's Included?

One-on-one Personal Coaching

Exclusive to the Elite Plan: Get 2 private coaching sessions or mentorship with Ritesh Kanjee, a leading expert in computer vision, each 15 minutes long.

Access to Private Inner Circle

You get access to a private online and Whatsapp community where you can network with other students and industry professionals. Ask questions and get feedback on your projects.

Monthly A.I. Challenges

Gain new skills in our Inner Circle with additional monthly projects & challenges that provide hands-on experience applying your A.I. knowledge in creative ways, expanding your expertise beyond the course material.

VIP Tech Support - Fast Assistance

Get fast and reliable technical assistance with VIP Tech Support. Our expert technicians are available 24/7 to solve any issues, ensuring that your code runs smoothly and hassle-free.

Computer Vision Internship Opportunities

Augmented Startups offers internships and apprenticeships to launch your career in AI. Gain hands-on experience and real-world skills to succeed in this growing industry.

[Bonus] ChatGPT Prompt Engineering Course

Join the ChatGPT revolution and become an expert prompt engineer with our cutting-edge course. Learn to generate natural language text and automate tasks using AI.

As well as the Full Suite of YOLO Courses

Learn YOLOv3 from Scratch

Build COVID-19 Related Apps

Chess Piece Detection Project

Build 21 Apps

Build a Full-Stack Traffic Monitoring Dashboard

Build Deployable AI Apps

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

108k+ Subscribers YouTube

71k Students Augmented Startups

M(Eng.) Electronic University of Joburg

31k+ Followers LinkedIn

Pricing

Price increase in:

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YOLO-NAS PRO Course

$199

ONCE OFF

[Module 1]
YOLO-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

LIFETIME ACCESS to YOLO-NAS + v8 PRO

VIP Technical Support via Chat

1x 30-Minute Private 1-on-1 Coaching Session with Ritesh Kanjee

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

WhatsApp, Discord & Facebook Community

Certificate of Completion

[Bonus 1] ChatGPT Beginners Course
[Bonus 2] YOLOv3,4,5,R,X,7 Courses

[Normal Price $199 per year]

ORDER FOR $199 Once Off

YOLO-NAS ULTRA Course

$299

🔥ONCE OFF🔥

[Module 1]
YOLO-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