Description
What you’ll learn
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YOLO-NAS : A New Foundation Model for Object Detection
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What’s New in YOLO-NAS | Is YOLO-NAS the Future of Object Detection?
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YOLO-NAS Implementation | Windows
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Object Detection with YOLO-NAS on Images
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Object Detection with YOLO-NAS on Videos
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Object Detection with YOLO-NAS on Live Webcam Feed
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Run YOLO-NAS in Google Colab
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YOLO-NAS + DeepSORT Tracking
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YOLO-NAS + DeepSORT Tracking on Custom Dataset
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YOLO-NAS with SORT Object Tracking
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Vehicles Counting (Entering and Leaving) using YOLO-NAS and SORT Object Tracking
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Building a Computer Vision Web App & Why UI is important
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Streamlit with YOLO-NAS Integration
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Streamlit YOLO-NAS on Images
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Streamlit YOLO-NAS on Videos
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Deploy Your Streamlit Web Application
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Streamlit App to Count the Vehicles Entering and Leaving
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Empty Shelf Detection using YOLO-NAS
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License Plate Detection using YOLO-NAS
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Automatic Number Plate Recognition using YOLO-NAS and EasyOCR
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Automatic Number Plate Recognition using YOLO-NAS and PaddleOCR
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YOLO-NAS Multi-Cam Number Plate Recognition App
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Face Detection using YOLO-NAS
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Face Blurring using YOLO-NAS
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Face Detection and Gender Classification using YOLO-NAS
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Vehicle Intensity Heatmaps | YOLO-NAS
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Integrating YOLO-NAS with Flask and Creating a WebApp
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Personal Protective Equipment (PPE) Detection with YOLO-NAS
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Web App- Personal Protective Equipment (PPE) Detection
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Web App- Vehicles Counting (Entering and Leaving) using YOLO-NAS and SORT Object Tracking
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Streamlit Apps with YOLO-NAS and ChatGPT
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Create ChatGPT Article Generator with Python and Streamlit
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Vegetables Detection with YOLO-NAS
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Create a Streamlit app using YOLO-NAS and OpenAI to generate recipes
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Segment Anything Model Introduction
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YOLO-NAS + SAM: Image Segmentation using YOLO-NAS and Segment Anything Model
Welcome to the Course. This comprehensive course covers YOLO-NAS, Segment Anything Model, and ChatGPT, providing hands-on projects, practical applications, and web app development using Flask and Streamlit with Real World 16+ projects. The course covers Object Detection, Tracking & Web Apps Development using popular frameworks like Flask and Streamlit. The course also includes Image Segmentation using YOLO-NAS and the Segment Anything Model. But that’s not all! We go even further by delving into Streamlit Apps Development, combining the prowess of YOLO-NAS and ChatGPT.
What will you learn in this course:
YOLO-NAS : A New Foundation Model for Object Detection
What’s New in YOLO-NAS | Is YOLO-NAS the Future of Object Detection?
YOLO-NAS Implementation | Windows
Object Detection with YOLO-NAS on Images
Object Detection with YOLO-NAS on Videos
Object Detection with YOLO-NAS on Live Webcam Feed
Run YOLO-NAS in Google Colab
YOLO-NAS + DeepSORT Tracking
YOLO-NAS + DeepSORT Tracking on Custom Dataset
YOLO-NAS with SORT Object Tracking
Vehicles Counting (Entering and Leaving) using YOLO-NAS and SORT Object Tracking
Building a Computer Vision Web App & Why UI is important
Streamlit with YOLO-NAS Integration
Streamlit YOLO-NAS on Images
Streamlit YOLO-NAS on Videos
Deploy Your Streamlit Web Application
Streamlit App to Count the Vehicles Entering and Leaving
Empty Shelf Detection using YOLO-NAS
License Plate Detection using YOLO-NAS
Automatic Number Plate Recognition using YOLO-NAS and EasyOCR
Automatic Number Plate Recognition using YOLO-NAS and PaddleOCR
YOLO-NAS Multi-Cam Number Plate Recognition App
Face Detection using YOLO-NAS
Face Blurring using YOLO-NAS
Face Detection and Gender Classification using YOLO-NAS
Vehicle Intensity Heatmaps | YOLO-NAS
Integrating YOLO-NAS with Flask and Creating a WebApp
Personal Protective Equipment (PPE) Detection with YOLO-NAS
Web App- Personal Protective Equipment (PPE) Detection
Web App- Vehicles Counting (Entering and Leaving) using YOLO-NAS and SORT Object Tracking
Streamlit Apps with YOLO-NAS and ChatGPT
Create ChatGPT Article Generator with Python and Streamlit
Vegetables Detection with YOLO-NAS
Create a Streamlit app using YOLO-NAS and ChatGPT to generate recipes
Segment Anything Model Introduction
YOLO-NAS + SAM: Image Segmentation using YOLO-NAS and Segment Anything Model
Who this course is for:
- For Everyone who is interested in Computer Vision
- For Everyone who study Computer Vision and want to know how to use YOLO for Object Detection
- For Everyone who wants to learn the latest YOLO-NAS version
- Building Deep learning Apps with Computer Vision
- Building Web Apps with Computer Vision
Course content
- YOLO-NAS : New Object Detection Model2 lectures • 11min
- YOLO-NAS : New Object Detection Model
- YOLO-NAS Implementation | Windows4 lectures • 45min
- YOLO-NAS Implementation | Windows
- YOLO-NAS Implementation | Google Colab1 lecture • 16min
- YOLO-NAS Implementation | Google Colab
- YOLO-NAS with DeepSORT Tracking3 lectures • 1hr 10min
- YOLO-NAS with DeepSORT Tracking
- YOLO-NAS with SORT Object Tracking10 lectures • 2hr 38min
- YOLO-NAS with SORT Object Tracking
- YOLO-NAS StreamLit Web App Development9 lectures • 2hr 45min
- YOLO-NAS StreamLit Web App Development
- YOLO-NAS Apps12 lectures • 4hr 27min
- YOLO-NAS Apps
- YOLO-NAS WebApps10 lectures • 3hr 30min
- YOLO-NAS WebApps
- Streamlit Apps with YOLO-NAS and OpenAI3 lectures • 1hr 41min
- Streamlit Apps with YOLO-NAS and OpenAI
- YOLO-NAS + SAM: Image Segmentation using YOLO-NAS and Segment Anything Model3 lectures • 34min
- YOLO-NAS + SAM: Image Segmentation using YOLO-NAS and Segment Anything Model
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