Table 2 The table shows all the information of datasets, each 3-D and 1-D datasets consist of four different wavelength range spectra datasets where each spectra dataset is composed of five groups of random samples for °Brix under 10, °Brix 10 to 11, °Brix 11 to 12, °Brix 12 to 13 and °Brix above 13.
From: Sugariness prediction of Syzygium samarangense using convolutional learning of hyperspectral images
Range | Size | Groups | Number of samples | |||
---|---|---|---|---|---|---|
Training | Validation | Test | ||||
3-D HSIs dataset | 400–1700 nm | 20 × 20 × 1367 | °Brix ∈ [0, 10] (M:8.654, Std:0.823) | 131 | 44 | 43 |
°Brix ∈ [10, 11] (M:10.448, Std:0.251) | 97 | 33 | 32 | |||
°Brix ∈ [11, 12] (M:11.487, Std:0.231) | 131 | 44 | 43 | |||
°Brix ∈ [12, 13] (M:12.526, Std:0.272) | 131 | 44 | 43 | |||
°Brix ∈ [13, 17] (M:14.016, Std:0.888) | 131 | 44 | 43 | |||
400–1000 nm | \(20\times 20\times 1053\) | °Brix ∈ [0, 10] (M:8.654, Std:0.823) | 131 | 44 | 43 | |
°Brix ∈ [10, 11] (M:10.448, Std:0.251) | 97 | 33 | 32 | |||
°Brix ∈ [11, 12] (M:11.487, Std:0.231) | 131 | 44 | 43 | |||
°Brix ∈ [12, 13] (M:12.526, Std:0.272) | 131 | 44 | 43 | |||
°Brix ∈ [13, 17] (M:14.016, Std:0.888) | 131 | 44 | 43 | |||
400–700 nm | \(20\times 20\times 575\) | °Brix ∈ [0, 10] (M:8.654, Std:0.823) | 131 | 44 | 43 | |
°Brix ∈ [10, 11] (M:10.448, Std:0.251) | 97 | 33 | 32 | |||
°Brix ∈ [11, 12] (M:11.487, Std:0.231) | 131 | 44 | 43 | |||
°Brix ∈ [12, 13] (M:12.526, Std:0.272) | 131 | 44 | 43 | |||
°Brix ∈ [13, 17] (M:14.016, Std:0.888) | 131 | 44 | 43 | |||
900–1700 nm | \(20\times 20\times 424\) | °Brix ∈ [0, 10] (M:8.654, Std:0.823) | 131 | 44 | 43 | |
°Brix ∈ [10, 11] (M:10.448, Std:0.251) | 97 | 33 | 32 | |||
°Brix ∈ [11, 12] (M:11.487, Std:0.231) | 131 | 44 | 43 | |||
°Brix ∈ [12, 13] (M:12.526, Std:0.272) | 131 | 44 | 43 | |||
°Brix ∈ [13, 17] (M:14.016, Std:0.888) | 131 | 44 | 43 | |||
1-D spectra data | 400–1700 nm | \(1\times 1367\) | °Brix ∈ [0, 10] (M:8.654, Std:0.823) | 131 | 44 | 43 |
°Brix ∈ [10, 11] (M:10.448, Std:0.251) | 97 | 33 | 32 | |||
°Brix ∈ [11, 12] (M:11.487, Std:0.231) | 131 | 44 | 43 | |||
°Brix ∈ [12, 13] (M:12.526, Std:0.272) | 131 | 44 | 43 | |||
°Brix ∈ [13, 17] (M:14.016, Std:0.888) | 131 | 44 | 43 | |||
400–1000 nm | \(1\times 1053\) | °Brix ∈ [0, 10] (M:8.654, Std:0.823) | 131 | 44 | 43 | |
°Brix ∈ [10, 11] (M:10.448, Std:0.251) | 97 | 33 | 32 | |||
°Brix ∈ [11, 12] (M:11.487, Std:0.231) | 131 | 44 | 43 | |||
°Brix ∈ [12, 13] (M:12.526, Std:0.272) | 131 | 44 | 43 | |||
°Brix ∈ [13, 17] (M:14.016, Std:0.888) | 131 | 44 | 43 | |||
400–700 nm | \(1\times 575\) | °Brix ∈ [0, 10] (M:8.654, Std:0.823) | 131 | 44 | 43 | |
°Brix ∈ [10, 11] (M:10.448, Std:0.251) | 97 | 33 | 32 | |||
°Brix ∈ [11, 12] (M:11.487, Std:0.231) | 131 | 44 | 43 | |||
°Brix ∈ [12, 13] (M:12.526, Std:0.272) | 131 | 44 | 43 | |||
°Brix ∈ [13, 17] (M:14.016, Std:0.888) | 131 | 44 | 43 | |||
900–1700 nm | \(1\times 424\) | °Brix ∈ [0, 10] (M:8.654, Std:0.823) | 131 | 44 | 43 | |
°Brix ∈ [10, 11] (M:10.448, Std:0.251) | 97 | 33 | 32 | |||
°Brix ∈ [11, 12] (M:11.487, Std:0.231) | 131 | 44 | 43 | |||
°Brix ∈ [12, 13] (M:12.526, Std:0.272) | 131 | 44 | 43 | |||
°Brix ∈ [13, 17] (M:14.016, Std:0.888) | 131 | 44 | 43 |