# Data-200-folds

This directory contains the folder structure which YOLOv8 needs for
training during the 10-fold cross validation. Each YAML file contains
a description of which labels need to be learned and are present in
the annotated files, and where the files used for training and
validation are stored.

Excluded in this repository is the folder `data-200` which contains
the actual files used for training. Each fold is composed of the whole
200 annotated images, but is split into train/val sets in a ratio of
9/1.