Skip to content
#

yolov8n

Here are 61 public repositories matching this topic...

PCBQualityControl uses the latest segmentation models to solve this problem of void detection. This solution trained Yolov8 on the target to automatically select (bounding box). SAM then uses the output of YOLO to segment the image, exposing the void and component areas. A quality control report is generated based on the voids to components ratio.

  • Updated Jun 2, 2023
  • Jupyter Notebook

In computer vision, this project meticulously constructs a dataset for precise 'Shoe' tracking using YOLOv8 models. Emphasizing detailed data organization, advanced training, and nuanced evaluation, it provides comprehensive insights. A final project for the Computer Vision cousre on Ottawa Master's in (2023).

  • Updated Jan 16, 2024
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the yolov8n topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the yolov8n topic, visit your repo's landing page and select "manage topics."

Learn more