A Novel Deep Convolutional Neural Network Based on ResNet-18 and Transfer Learning for Detection of Wood Knot Defects

Table 1

Number of datasets.

Wood knot	Before data augmentation				After data augmentation
	Training dataset	Validation dataset	Testing dataset	Original dataset	Training dataset	Validation dataset	Testing dataset	Total dataset
Decayed knot	10	3	3	16	68	25	19	112
Dry knot	41	14	14	69	291	96	96	483
Edge knot	39	13	13	65	273	91	91	455
Encased knot	20	6	6	32	136	44	44	224
Horn knot	21	7	7	35	147	49	49	245
Leaf knot	27	10	10	47	198	65	66	329
Sound knot	110	37	37	184	772	266	250	1288
Total	268	90	90	448	1885	636	615	3136