A comprehensive YOLOv11 custom object detection tutorial with a step-by-step guide for a two-class custom dataset. I cover setting up an environment for YOLOv11, how to annotate custom datasets in YOLO format, and how to train custom object detection models. Although I show a demonstration using YOLOv11 medium version, the method is generic enough to train all variations of YOLOv11 custom object detectors. This tutorial is for both Windows and Linux.

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► Time Stamps:
Introduction: (0:00)
Setting up Virtual Environment: (0:35)
Annotating custom dataset in YOLO format: (2:41)
Train YOLO v11 custom: (8:38)
Run custom object detection on images: (12:28)
Run custom object detection on videos: (16:42)
Run custom object detection on webcam: (17:14)
Export YOLOv11 to ONNX or TFLITE: (17:41)
YOLOv11 Custom Object Detection Command Line: (18:30)
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► My Other Tutorials:
○ YOLO v11 Custom Instance Segmentation (Win & Linux): [ Ссылка ]
○ YOLO v8 Custom Object Detection Tutorial (Win & Linux): [ Ссылка ]
○ YOLO v8 Complete Tutorial (Win & Linux): [ Ссылка ]
○ YOLOv7 Instance Segmentation (Win & Linux): [ Ссылка ]
○ YOLOv7 Pose Estimation (Win & Linux): [ Ссылка ]
○ YOLOv7 Custom Object Detection (Colab): [ Ссылка ]
○ YOLOv7 Custom Object Detection (Win & Linux): [ Ссылка ]
○ YOLOv7 Complete Tutorial (Colab): [ Ссылка ]
○ YOLOv7 Complete Tutorial (Windows and Linux): [ Ссылка ]
○ 40 Object Detection Models in TensorFlow: [ Ссылка ]
○ Realtime Object Detection on CPU with OpenCV: [ Ссылка ]
○ DETECTRON2 Custom Object Detection, Custom Instance Segmentation Tutorial: Part 2 (Training Models): [ Ссылка ]
○ DETECTRON2 Custom Object Detection, Custom Instance Segmentation Tutorial: Part 1 (Preparing Data): [ Ссылка ]
○ Detectron2 on Colab: [ Ссылка ]
○ Instance Segmentation as Rendering: [ Ссылка ]
○ Detectron2 Complete Tutorial: [ Ссылка ]
○ Colorize Black and White Images and Videos using Python OpenCV: [ Ссылка ]
○ Face Detection Using OpenCV Python with CUDA GPU Acceleration: [ Ссылка ]
○ Build and Install OpenCV 4.5.1 With CUDA GPU Support on Windows 10: [ Ссылка ]
○ Install TensorFlow Under 90 Seconds
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○ Install PyTorch Under 90 Seconds
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