YOLO-NAS, Train Custom Dataset, Object Detection, Segmentation, Tracking, Real World 12+ Projects, Streamlit Apps
Instructed by Muhammad Moin 13.5 hours on-demand video & 32 downloadable resources
What you’ll learn
-
YOLO-NAS : A New Foundation Model for Object Detection
-
What’s New in YOLO-NAS | Is YOLO-NAS the Future of Object Detection?
-
How to run a YOLO-NAS program for Object Detection
-
Finding the appropriate dataset
-
Data annotation/labeling/ Automatic Dataset Splitting
-
How to train/ fine-tune YOLO-NAS on custom dataset, transfer learning
-
Multiple Object Tracking using YOLO-NAS
-
Potholes Detection using YOLO-NAS
-
Personal Protective Equipment (PPE) Detection using YOLO-NAS
-
Real Time Custom Object Detection (PPE Detection) with Webcam and Export Model
-
Vehicles Counting (Entering and Leaving) using YOLO-NAS and SORT Object Tracking
-
Real Time Sign Language Alphabets Detection using YOLO-NAS
-
Real Time Face Mask Detection using YOLO-NAS
-
Fire Detection using YOLO-NAS
-
Vehicles Counting using YOLO-NAS and SORT Object tracking
-
People Counter using YOLO-NAS and SORT Object Tracking
-
Privacy Blurring using YOLO-NAS
-
License Plate Detection and Recognition using YOLO-NAS
-
Plastic Bottles Counting in a Manufacturing Line using YOLO-NAS and Sort ALgorithm
-
Real World 12 + Projects with YOLO-NAS: Unleashing the Power of YOLO-NAS
-
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
Deal Score0
Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.