Dataset of very-high-resolution satellite RGB images to train deep learning models to recognize high-mountain juniper shrubs from Sierra Nevada (Spain)

  1. Khaldi, Rohaifa 1
  2. Puertas, Sergio 2
  3. Tabik, Siham 3
  4. Alcaraz-Segura, Domingo 2
  1. 1 LifeWatch ERIC International ICT Core Office, Seville, Spain
  2. 2 Dept. of Botany, Faculty of Science, University of Granada, 18071 Granada, Spain.
  3. 3 Dept. of Computer Science and Artificial Intelligence, Andalusian Research Institute in Data Science and Computational Intelligence, DaSCI, University of Granada, 18071, Granada, Spain
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Editor: Zenodo

Año de publicación: 2022

Tipo: Dataset

CC BY 4.0

DOI: 10.5281/ZENODO.6793421 lock_openAcceso abierto editor

Resumen

This dataset provides annotated very-high-resolution satellite RGB images extracted from Google Earth to train deep learning models to recognize Juniperus communis L. and Juniperus sabina L. shrubs. All images are from the high mountain of Sierra Nevada in Spain. The dataset contains 2000 images (.jpg) of size 512x512 pixels partitioned into two classes: Shrubs and NoShrubs. We also provide partitioning of the data into Train (1800 images), Test (100 images), and Validation (100 images) subsets.