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YOLO-NAS is the fastest & accurate Object Detection
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.
I Sucked at Coding AI!
There had to be a better way...
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?
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.
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.
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!
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
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
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
- 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
- Setting up Flask Application
- Integrate YOLO-NAS + v8 with Flask
- Designing Front-End
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
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
- 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
- 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
- Docker Container Deployment
- Deployment to Jetson Nano
10 Hours+ Content
Code + Datasets
(Limited Time Only)
Student enrolled in our courses from :
What do industry leaders say about our program?
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.
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 😊
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.
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
Once you complete the course, you will graduate with an Official Certificate embedded with a unique ID that you can share on LinkedIn.
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71k Students Augmented Startups
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We stand behind the quality of our YOLO-NAS+v8 course.
If you're unsatisfied within 7 days, we offer a no-questions-asked, 100% money-back guarantee.
Not applicable to the Installment plan.