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Table 1 Bark classification results of Ffirst and the state-of-the-art methods

From: Fine-grained recognition of plants from images

 

AFF 10 fold

AFF 15 train

AFF 30 train

\(\hbox {Ffirst}^{\forall +}\)

96.5 ± 1.2

84.9 ± 2.5

90.4 ± 1.6

MS-LBP-HF [4]

92.2 ± 2.7

74.4 ± 3.4

–

MS-LBP [4]

96.5 ± 2.7

85.5 ± 2.7

–

Fiel, Sablatnig [11, 92]

–

64.2

69.7

  1. Evaluation schemes using 10 fold cross validation, or 15 and 30 training images per class
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Plant Methods

ISSN: 1746-4811