► 16. YOLOv8 | Object Detection Course.
✅ Free course with problems:
► Object Detection with problems: https://stepik.org/a/224806
✅ Courses with problems:
► Pytorch with problems: https://clck.ru/3MwcxE
► Pandas with problems: https://clck.ru/3MwcyL
► Numpy with problems: https://clck.ru/3Mwczo
✅ My Telegram channel: https://t.me/dubinin_ser
✅ Telegram groups:
► Pytorch: https://t.me/PyTorch_for_you
► Pandas: https://t.me/pandas_for_you
► Numpy: https://t.me/numpy_for_you
Distribution Focal Loss (DFL) - https://arxiv.org/abs/2006.04388
Task Alignment Learning (TAL) - https://arxiv.org/abs/2108.07755
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Greetings, friends! If you're interested in computer vision and want to learn how to create your own models for object detection tasks, then you've come to the right place!
In this video series, we'll explore the basics of object detection and explore various architectures.
Don't waste any time and join us on this exciting journey into the world of computer vision!
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In this video, you'll get a general overview of the YOLOv8 network architecture from Ultralytics.
We'll also explore new network training approaches: Distribution Focal Loss and Task Alignment Learning.
Timecodes:
00:00 - Introduction.
00:18 - YOLOv8. Network architecture.
03:51 - Distribution Focal Loss.
09:00 - Task Alignment Learning.
14:58 - YOLOv8 loss function.
Tags: #pytorch #AI #objectdetection #yolo #fcos