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YOLOv8: Video Object Detection with Python on Custom Dataset (1 Viewer)

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 YOLOv8: Video Object Detection with Python on Custom Dataset (1 Viewer)

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mayoufi

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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 26 Lectures ( 2h 17m ) | Size: 1.56 GB
YOLOv8 Video Object Detection for Computer Vision in Python. Train on Custom Dataset, Deploy YOLO8 to YOUR own Projects
What you'll learn:
YOLOv8 for Real-Time Video Object Detection with Python
Train, Test YOLO8 on Custom Dataset and Deploy to Your Own Projects
What is YOLO and How it Works for Object Detection?
Overview of YOLO Family (YOLOv2, YOLOv3, YOLOv4, YOLOv5, YOLOv6, YOLOv7 )
Overview of CNN, RCNN, Fast RCNN, and Faster RCNN
Custom Football Player Dataset Configuration for Object Detection
YOLOv8 Ultralytics and its HyperParameters Settings
Training YOLOv8 for Player, Referee and Football Detection
Testing YOLOv8 Trained Models on Videos and Images
Deploy YOLOv8: Export Model to Required Format

 

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