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Table 1 Training and testing splits of the image dataset by class at the species level

From: Classification of CITES-listed and other neotropical Meliaceae wood images using convolutional neural networks

Species

Training split

Testing split

Cabralea canjerana

41

18

Carapa guianensis

305

134

Cedrela fissilis

133

59

Cedrela odorata

354

160

Guarea glabra

45

20

Guarea grandifolia

33

14

Khaya ivorensis

240

105

Khaya senegalensis

36

16

Swietenia macrophylla

372

165

Swietenia mahagoni

37

16

Total

1596

707

  1. Splits for the genus level model are the sums of the individual species in each genus. The total number of images is 2303