Computer vision-based wood identification and its expansion and contribution potentials in wood science: A review

Table 1 Published wood image databases that have been used in CV-based wood identification studies

Database	Description	Image type	#SP/#IMG	Accessibility	Ref.
CAIRO	Commercial hardwood species in Malaysia	Stereo	37/3700	Inaccessible	[82]
FRIM	Commercial hardwood species in Malaysia	Stereo	52/5200	Inaccessible	[27]
LignoIndo	Commercial hardwood species in Indonesia	Stereo	809/4854	Inaccessible	[83]
ZAFU WS 24	Wood species in Zhejiang A&F University	Stereo	24/480	Inaccessible	[68]
RMCA	Commercial wood species in Central-Africa	Micro	77/1221	Open	[86]
XDD	Major Fagaceae species in Japan	Micro	18/2449	Open	[88]
XDD	Lauraceae species in East Asia	Micro	39/1658	Open	[89]
WOOD-AUTH	Wood species in Greece	Macro	12/4272	Open	[87]
UFPR	Wood species in Brazil	Macro	41/2942	Open	[84]
UFPR	Wood species in Brazil	Micro	112/2240	Open	[85]

Stereo stereogram, Micro micrograph, Macro macroscopic image, #SP number of species, #IMG number of images, Ref. reference

ISSN: 1746-4811