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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