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[Docs]: Add customization tutorial and address feedback (#155)

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Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Ayush Chaurasia 2023-01-08 18:31:22 +05:30 • committed by GitHub
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@ -49,7 +49,7 @@ For more information about the history and development of YOLO, you can refer to
conference on computer vision and pattern recognition (pp. 779-788).
- Redmon, J., & Farhadi, A. (2016). YOLO9000: Better, faster, stronger. In Proceedings
### YOLOv8 by Ultralytics
### Ultralytics YOLOv8
YOLOv8 is the latest version of the YOLO object detection and image segmentation model developed by
Ultralytics. YOLOv8 is a cutting-edge, state-of-the-art (SOTA) model that builds upon the success of previous YOLO