Overview

YOLOv8 and YOLO11: Cutting-Edge Object Detection ModelsYOLOv8 and YOLO11 are the latest state-of-the-art object detection models from Ultralytics, surpassing previous versions in both speed and accuracy. These models build upon the advancements of earlier YOLO versions, introducing significant architectural and training improvements, making them versatile tools for a variety of computer vision tasks.The YOLOv8 and YOLO11 models support a wide range of applications, including object detection, instance segmentation, image classification, pose estimation, and oriented object detection (OBB).Course StructureThis course is divided into two parts:Part 1: YOLOv8Introduction to YOLOOverview of CNN, RCNN, Fast RCNN, Faster RCNN, Mask R-CNNIntroduction to YOLOv8Comparison of YOLOv8 and YOLOv7 with a focus on License Plate DetectionRunning YOLOv8Setting up YOLOv8 on WindowsUsing YOLOv8 in Google ColabDataset PreparationHow to find datasetsData annotation, labeling, and automatic dataset splittingTraining YOLOv8Train/ Fine-Tune YOLOv8 Model on a Custom DatasetCustom Projects:Potholes DetectionPersonal Protective Equipment (PPE) DetectionPen and Book DetectionMulti-Object TrackingIntroduction to Multi-Object TrackingImplementing YOLOv8 with the DeepSORT algorithmRunning on Google ColabTraffic Analysis:Vehicle counting and car velocity calculationVehicle entry and exit countingYOLOv8 Segmentation with TrackingAdvanced ApplicationsPotholes SegmentationTraffic Lights Detection and Color RecognitionCracks SegmentationHelmet Detection and SegmentationAutomated Vehicle Direction Detection and CountingFace Detection, Gender Classification, Crowd Counting, and TrackingLicense Plate Detection and Recognition with EasyOCRObject Blurring with Object TrackingVehicle Segmentation, Counting, and Speed EstimationWeb IntegrationIntegrating YOLOv8 with FlaskCreating a Complete Web App for PPE DetectionPart 2: YOLO11What's New in YOLO11Key updates and features in Ultralytics YOLO11Using YOLO11 for Various TasksObject Detection, Instance Segmentation, Pose Estimation, and Image Classification on Windows/Linux.Model Performance EvaluationTesting and analyzing YOLO11 performanceTraining YOLO11Train/ Fine-Tune YOLO11 Object Detection Model on a Custom Dataset for Personal Protective Equipment Detection.Train/ Fine-Tune YOLO11 Instance Segmentation Model on a Custom Dataset for Potholes Detection.Fine-Tune YOLO11 Pose Estimation Model on a Custom Dataset for Human Activity Recognition.Train/ Fine-Tune YOLO11 Image Classification Model on a Custom Dataset for Plant Classification.Advanced Multi-Object TrackingImplementing Multi-Object tracking with Bot-SORT and ByteTrack algorithmsSpecialized ProjectsLicense Plate Detection & Recognition with YOLO11 and EasyOCRCar and License Plate Detection & Recognition with YOLO11 and PaddleOCRWeb Integration with YOLO11Integrating YOLO11 with Flask to build a web appCreating a Streamlit Web App for object detection

Skills

Reviews