OpenCV - Detect (one of) multiple objects in image

Question

I have image with wood trunks .

I have to detect each wooden trunk individually. It looks similar like following image:

wooden trunks

Do you have any ideas about approaches how to do that?
Should I use Al? Or just machine learning like SVM? Or some pattern recognition algorithm? Or I can train it.

training dataset

I tried to detect circles/ellipses, but it doesnt have good results. I also read that wood reflect red color.
But I dont have so much experience with OpenCV, so I dont know which approach is the best for this task.
Thank you for your help

Answer 1

I think retraining YOLO seems like a good option:

https://github.com/AlexeyAB/darknet

You'll need about 2,000 labeled images, plus image augmentation. I've used this library for image augmentation for YOLO:

https://github.com/aleju/imgaug/