BLNN: Multiscale Feature Fusion-Based Bilinear Fine-Grained Convolutional Neural Network for Image Classification of Wood Knot Defects

Table 1

Number of datasets.

Wood knot defect	Before data augmentation				After data augmentation
	Training dataset	Validation dataset	Testing dataset	Original dataset	Training dataset	Validation dataset	Testing dataset	Total dataset
Dry knot	41	14	14	69	291	96	96	483
Edge knot	39	13	13	65	273	91	91	455
Leaf knot	27	10	10	47	198	65	66	329
Sound knot	110	37	37	184	772	266	250	1288
Total	217	74	74	365	1534	518	503	2555