Beetle Indicator Dataset

The Beetle Detection Dataset consists of 2,400 samples, equally divided into 1,200 beetlewood and 1,200 no-beetlewood samples, totaling 4,800 images (one trunk and one cross-sectional image per sample). The no-beetlewood category includes 50% class B and 50% class C samples. Class D is excluded, as infested wood may also be classified as D. The dataset is split using stratified sampling, with 1,920 samples (80%) for training and 480 samples (20%) for testing. Each sample is saved along with its corresponding cross-sectional image and a log file. The log file follows this structure: log; protocol number; stem length [cm]; diameter D1 base [mm]; diameter D2 middle [mm]; diameter D3 top [mm]; taper [mm/m]; species; quality.