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. 2017 Jan 7;25(2):507–543. doi: 10.1007/s11831-016-9206-z

Table 12.

Comparison of classification accuracies on the ICL dataset (220 species) and its two subsets (50 species each)

Descriptor Feature Classifier Accuracy Studies
Full dataset: 220 species
FD Shape 1-NN 60.08 [135]
TAR Shape 1-NN 78.25 [135]
IDCS Shape 1-NN 81.39 [135]
IDSC Shape k-nn 83.79 [139]
GF Texture Fuzzy k-NN 84.60 [136]
MARCH Shape 1-NN 86.03 [135]
HoCS Shape Fuzzy k-NN 86.27 [136]
MDM Shape Fuzzy k-NN 88.24 [136]
IDSC Shape Fuzzy k-NN 90.75 [136]
SIFT, SC Shape + vein k-NN 91.30 [139]
EnS and CDS Shape + texture SVM 95.87 [140]
DS-LBP Shape + texture Fuzzy k-NN 98.00 [136]
Subsets: 50 species
IDSC Shape SVM 95.79 (63.99) [121]
FD Shape 1-NN 96.00 (80.88) [62]
HOG Shape SVM 96.63 (83.35) [121]
LBP Shape SVM 97.70 (92.80) [121]
IDSC Shape 1-NN 98.00 (66.64) [62, 145]
MDM with ID Shape 1-NN 98.20 (80.80) [62]
HOG Shape 1-NN 98.92 (89.40) [145]
I-IDSC Shape 1-NN 99.48 (88.40) [158]

Certain studies used two subsets of the ICL leaf dataset: subset A and subset B (in brakets). Subset A includes 50 species with shapes easily distinguishable by humans. Subset B includes 50 species with very similar but still visually distinguishable shapes