Astur Apple image Dataset

Struture of file: 2022-v2-9classes-AsturApple-Balanced-SIZE224-train-dev-test.hdf5
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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.