Table 3.

Performance of the proposed stomata detection algorithm

Dataset	Quality	Known to model	Num. of stomata	Precision (%)	Recall (%)	F-Score (%)
Gymnosperm 400×	Med–High	Yes	944	95.87	98.41	97.12
Gymnosperm 100×: low	Low	Yes	10597	98.89	91.92	95.28
Gymnosperm 100×: high	High	Yes	7713	98.15	94.30	96.18
Poplar	High	Yes	5042	98.34	96.11	97.22
Cuticle: low	Low	Partially	8181	93.46	73.51	82.29
Cuticle: med	Medium	Partially	2631	94.80	89.43	92.04
Ginkgo	High	Partially	2802	96.02	82.65	88.84
USNM/USBG: low	Low	Partially	2569	92.70	70.65	80.19
USNM/USBG: med	Medium	Partially	16083	95.20	82.31	88.30
Betula nana	Low–Med	No	683	85.62	75.25	80.06
Eucalyptus	Medium	No	1088	93.22	83.46	88.07
Ferns: low	Low	No	964	78.91	51.24	62.14
Ferns: med	Medium	No	713	90.15	74.47	81.56
Grass	Low–Med	No	3288	85.20	55.66	67.32
UNSW-2019	Med–High	No	2242	91.53	85.77	88.56
Google Images	Medium	No	1496	97.52	76.34	85.64