I want to use the kitti dataset and training it with the yolo algorithm.
In general, the format of the number of objects and the coordinates of the object in an image for each object are as follows:
<object-class> <x_center> <y_center> <width> <height>
The question is how can I add different fields to this algorithm and training it?
What do you mean under "add different fields to this algorithm"?
If you want to train standart YOLO model, you can’t just add such parameters as truncated, occluded etc to label file. Best way I see is to redefine labels from kitti to yolo format.
You can just google for open-source solutions like that.
Answered By – Maxim Lyuzin
Answer Checked By – David Marino (AngularFixing Volunteer)