Investigate performance of the models from YOLO family for Bragg's peak detection

[warunawickramasingha]

Describe the outcome that is desired.
After observing the promising results for Bragg peak detection by using the Faster RCNN deep learning model which is a two-stage object detection model via #36590, this is to investigate the performance of the state-of-the-art one-stage object detection models from YOLO family for the same task.

Additional context
Given the fact that YOLO models are expected to be faster than the Faster RCNN models, their inferencing performance need to be tested for the peak detection task.

The paper: https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Redmon_You_Only_Look_CVPR_2016_paper.pdf