This format contains one text file per image (containing the annotations and a numeric representation of the label) and a labelmap which maps the numeric IDs to human readable strings. The annotations are normalized to lie within the range [0, 1] which makes them easier to work with even after scaling or stretching images. It has become quite popular as it has followed the Darknet framework's implementations of the various YOLO models.
Roboflow can read and write YOLO Darknet files so you can easily convert them to or from any other object detection annotation format. Once you're ready, use your converted annotations with our training YOLO v4 with a custom dataset tutorial.
1 0.408 0.30266666666666664 0.104 0.15733333333333333
1 0.245 0.424 0.046 0.08
head
helmet
person