Astur Apple image Dataset (Q6695900)

Struture of file: 2022-v2-9classes-AsturApple-Balanced-SIZE224-train-dev-test.hdf5 ------------------------------------------------------------------------------------------- This file contains dataset of 6108 cider apple color images, 224x224 pixels to support the article Transfer learning with convolutional neural networks for classification of cider apple varieties results. -The images belong to nine apple classes: BLANQUINA CARRIO FLORINA FUENTES PRIETA RAXAO REINETA ENCARNADA REINETA PINTA REINETA ROJA DEL CANADA -Full dataset is split in 4886 images for training, 611 for testing and 611 for validation. -Class labels are codified as one-hot enconding binary labels. (e.g. [0 0 0 0 0 1 0] --- Reineta Pinta) -Training image set are store as tensor trainX: (4168,224,224,3) -Training class labels trainY: (4886,7) -Test image set tensor testX: (611, 224,224,3) -Test image binary class labels testY: (611, 7) -Validation image set tensor devX: (611, 224,224,3) -Validation binary class labels devY: (611, 7) * file was created with h5py module in Python.