Srbija Posted February 2 Share #1 Posted February 2 YOLO-NAS, Segment Anything Model, ChatGPT with WebApps 2023 Last updated 7/2023 Created by Muhammad Moin MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 57 Lectures ( 17h 51m ) | Size: 22 GB YOLO-NAS, Train Custom Dataset, Object Detection, Segmentation, Tracking, Real World Projects & Web Apps in Python 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? 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 Requirements Python Programming experience is an advantage but not required Laptop/PC Description Welcome to the YOLO-NAS: The Ultimate Course for Object Detection & Tracking with Hands-on Projects, Applications & Web App Development using Flask and Streamlit. YOLO-NAS is the state-of-the-art object detection model. It is the latest version of YOLO and is an improvement over the previous versions in terms of speed, accuracy and efficiency. What will you learn in this course:YOLO-NAS : A New Foundation Model for Object DetectionWhat'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 TrackingVehicles Counting (Entering and Leaving) using YOLO-NAS and SORT Object TrackingBuilding a Computer Vision Web App & Why UI is importantStreamlit with YOLO-NAS IntegrationStreamlit YOLO-NAS on ImagesStreamlit YOLO-NAS on VideosDeploy Your Streamlit Web ApplicationStreamlit 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 Protective Equipment (PPE) Detection with YOLO-NASWeb App- Personal Protective Equipment (PPE) DetectionWeb App- Vehicles Counting (Entering and Leaving) using YOLO-NAS and SORT Object Tracking 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 Homepage Hidden Content Give reaction to this post to see the hidden content. Hidden Content Give reaction to this post to see the hidden content. Hidden Content Give reaction to this post to see the hidden content. 1 Link to comment
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