YOLO-NAS, OpenAI, SAM with WebApps using Flask and Streamlit

YOLO-NAS, Train Custom Dataset, Object Detection, Segmentation, Object Tracking, Real World 16+ Projects & Web Apps

4.15 (43 reviews)
Udemy
platform
English
language
Data Science
category
instructor
YOLO-NAS, OpenAI, SAM with WebApps using Flask and Streamlit
550
students
18 hours
content
Feb 2024
last update
$89.99
regular price

What you will learn

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 OpenAI to generate recipes

Segment Anything Model Introduction

YOLO-NAS + SAM: Image Segmentation using YOLO-NAS and Segment Anything Model

Why take this course?

πŸŽ‰ **Mastering AI with YOLO-NAS, OpenAI's SAM & Web App Development!** πŸ€–πŸš€ ### Course Headline: YOLO-NAS, Train Custom Dataset, Object Detection, Segmentation, Object Tracking, Real World 16+ Projects & Web Apps using Flask and Streamlit --- ## **Course Introduction:** Welcome to the **YOLO-NAS, OpenAI's SAM with WebApps using Flask and Streamlit** course! This is not just another online courseβ€”it's a deep dive into the future of AI with hands-on projects and practical applications. We'll explore the capabilities of YOLO-NAS, the power of the Segment Anything Model (SAM), and the integrative potential of ChatGPT. You'll work with real-world datasets, build your own web applications, and push the boundaries of what's possible with AI in image and video analysis. --- ## **What You'll Learn:** ### **YOLO-NAS Mastery:** - πŸ” **Understanding YOLO-NAS**: Discover the foundational aspects of YOLO-NAS and its significance in object detection. - πŸš€ **Implementing YOLO-NAS**: Learn to implement YOLO-NAS on various platforms, including Windows, and understand its practical applications. - πŸŽ₯ **Object Detection with YOLO-NAS**: Master the art of detecting objects in images, videos, and live webcam feeds using YOLO-NAS. - πŸ§ͺ **YOLO-NAS in Action**: Engage with real-world scenarios such as vehicles counting (enterings and exits) and object tracking with cutting-edge techniques like DeepSORT and SORT. ### **Web App Development:** - πŸ’» **Building Web Apps**: Learn the importance of UI in web applications and how to build them effectively. - ✨ **Streamlit Integration**: Combine YOLO-NAS with Streamlit to create intuitive, powerful web applications for various use cases. - 🌍 **Deployment**: Get hands-on experience deploying your Streamlit applications. ### **Advanced Object Tracking and Detection:** - πŸš— **License Plate Detection**: Utilize YOLO-NAS to detect and recognize license plates with OCR tools like EasyOCR and PaddleOCR. - πŸ†• **Multi-Camera App**: Develop a multi-camera number plate recognition application using YOLO-NAS. - πŸ‘₯ **Face Detection & Blurring**: Implement face detection, gender classification, and even face blurring functionalities. - πŸ”₯ **Heatmaps**: Generate vehicle intensity heatmaps for enhanced analysis. ### **Real-World Applications:** - πŸ›‘οΈ **PPE Detection**: Detect Personal Protective Equipment (PPE) with YOLO-NAS and create a web app to monitor workplace safety. - 🍳 **Recipe Generation**: Combine YOLO-NAS and ChatGPT to generate recipes based on detected vegetables. ### **Segment Anything Model (SAM):** - πŸ–ŒοΈ **Introduction to SAM**: Get started with the latest from OpenAI – the Segment Anything Model. - πŸ€Ήβ€β™‚οΈ **YOLO-NAS & SAM Integration**: Learn how to use YOLO-NAS in conjunction with SAM for cutting-edge image segmentation tasks. ### **ChatGPT Integration:** - ✍️ **ChatGPT Article Generator**: Create a Streamlit application that generates articles with ChatGPT. - πŸ“± **YOLO-NAS & ChatGPT Synergy**: Explore the combination of YOLO-NAS and ChatGPT in web applications for innovative solutions. --- By the end of this course, you'll have a portfolio of 16+ real-world projects that showcase your skills in object detection, segmentation, object tracking, and web app development. You'll be equipped with the knowledge to tackle complex problems using AI and transform data into actionable insights. Join us on this journey to become an AI expert with YOLO-NAS, SAM, and Flask & Streamlit! 🌟

Screenshots

YOLO-NAS, OpenAI, SAM with WebApps using Flask and Streamlit - Screenshot_01YOLO-NAS, OpenAI, SAM with WebApps using Flask and Streamlit - Screenshot_02YOLO-NAS, OpenAI, SAM with WebApps using Flask and Streamlit - Screenshot_03YOLO-NAS, OpenAI, SAM with WebApps using Flask and Streamlit - Screenshot_04

Reviews

Joel
June 19, 2023
Had a great understanding of OpenCV + SAM and YoloNAS able to build Flask and Streamlit projects.I have enrolled all the courses of Moin Sir, Thank you sir

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Enrollment distribution

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5353532
udemy ID
5/29/2023
course created date
6/15/2023
course indexed date
ANUBHAVJAIN
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