Computer Vision Bootcamp with Python: YOLO, SAM & RF-DETR

About this course

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 | WindowsObject Detection with YOLO-NAS on ImagesObject Detection with YOLO-NAS on VideosObject Detection with YOLO-NAS on Live Webcam FeedRun YOLO-NAS in Google ColabYOLO-NAS + DeepSORT TrackingYOLO-NAS + DeepSORT Tracking on Custom DatasetYOLO-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 ImagesStreamlit YOLO-NAS on VideosDeploy Your Streamlit Web Application

Streamlit App to Count the Vehicles Entering and LeavingEmpty Shelf Detection using YOLO-NASLicense Plate Detection using YOLO-NASAutomatic Number Plate Recognition using YOLO-NAS and EasyOCRAutomatic Number Plate Recognition using YOLO-NAS and PaddleOCRYOLO-NAS Multi-Cam Number Plate Recognition AppFace Detection using YOLO-NASFace Blurring using YOLO-NASFace Detection and Gender Classification using YOLO-NASVehicle Intensity Heatmaps | YOLO-NASIntegrating YOLO-NAS with Flask and Creating a WebAppPersonal Pro

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