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Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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Recolector de Ciencia Abierta, RECOLECTA
Dataset . 2022
License: CC BY
Data sources: Recolector de Ciencia Abierta, RECOLECTA
https://doi.org/10.17811/ruo_d...
Dataset . 2022
Data sources: Crossref
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Astur Apple Image Dataset

Research datakeyboard_double_arrow_right Dataset 01 Jan 2022Publisher:Universidad de Oviedo
Authors: Menendez Díaz, Agustín,; García-Cortés, Silverio; Oliveira Prendes, José Alberto; Bello-García, Antonio;

doi: 10.17811/ruo_datasets.80816 , 10.5281/zenodo.7188796 , 10.5281/zenodo.7188795

handle: 10651/80816

Astur Apple Image Dataset

Abstract

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.

Related Organizations
Keywords

Cider apple, apple image dataset, Apple varieties, Convolutional Neural Networks, cider apple, Astur apple

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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