Astur Apple image Dataset

<p>Struture of file: 2022-v2-9classes-AsturApple-Balanced-SIZE224-train-dev-test.hdf5<br> -------------------------------------------------------------------------------------------<br> This file contains dataset of 6108 cider apple color images, 224x224 pixels to support the article &quot;Transfer learning with convolutional neural networks<br> for classification of cider apple varieties&quot; results.</p> <p>-The images belong to nine apple classes: &#39;BLANQUINA&#39; &#39;CARRIO&#39; &#39;FLORINA&#39; &#39;FUENTES&#39; &#39;PRIETA&#39; &#39;RAXAO&#39; &#39;REINETA ENCARNADA&#39; &#39;REINETA PINTA&#39; &#39;REINETA ROJA DEL CANADA&#39;<br> -Full dataset is split in 4886 images for training, 611 for testing and 611 for validation.<br> -Class labels are codified as one-hot enconding binary labels. (e.g. [0 0 0 0 0 1 0] ---&gt; Reineta Pinta)<br> -Training image set are store as tensor &quot;trainX&quot;: (4168,224,224,3)<br> -Training class labels &quot;trainY&quot;: (4886,7)<br> -Test image set tensor &quot;testX&quot;: (611, 224,224,3)<br> -Test image binary class labels &quot;testY&quot;: (611, 7)<br> -Validation image set tensor &quot;devX&quot;: (611, 224,224,3)<br> -Validation binary class labels &quot;devY&quot;: (611, 7)</p> <p>* file was created with h5py module in Python.</p> <p>&nbsp;</p>