Wood Detection Method with Machine Learning and Correction by Rule-Based Approach

Proposal of a Correction Algorithm for Undetected Timber Using Machine Learning.
While about 93% of timber are detected by machine learnin, about 98% of timber are detected by the proposed method without degrading the F1 score.