Company
Date Published
Feb. 21, 2023
Author
Jacob Marks
Word count
2149
Language
English
Hacker News points
3

Summary

This article is the third and final part of a series that demonstrates how to work with YOLOv8, from downloading off-the-shelf models to fine-tuning these models for specific use cases. The author uses two libraries, FiftyOne and Ultralytics, to fine-tune a YOLOv8 model for custom computer vision applications. The article covers the process of defining a use case, choosing training data, fine-tuning the YOLOv8 model, and assessing the improvement in performance. It also discusses potential approaches to further improve the model's performance.