Table 1.

Bark classification results of Ffirst and the state-of-the-art methods

	AFF 10 fold	AFF 15 train	AFF 30 train
${\text{Ffirst}}^{\forall +}$	96.5 ± 1.2	84.9 ± 2.5	90.4 ± 1.6
MS-LBP-HF [4]	92.2 ± 2.7	74.4 ± 3.4	–
MS-LBP [4]	96.5 ± 2.7	85.5 ± 2.7	–
Fiel, Sablatnig [11, 92]	–	64.2	69.7

Evaluation schemes using 10 fold cross validation, or 15 and 30 training images per class