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GENERAL INFORMATION
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1. Title and description of the dataset: Dataset for the paper "Segmentation of Multiple Tree Leaves Pictures with Natural Backgrounds using Deep Learning for Image-Based Agriculture Applications" (DOI: 10.3390/app10010202)
2. Authors: Jaime Giménez-Gallego, Juan D. González-Teruel, Manuel Jiménez-Buendía, Ana Toledo-Moreo, Fulgencio Soto-Valles, Roque Torres-Sánchez
3. Author's contact information:  Jaime Giménez-Gallego (jaime.gimenez@upct.es, jgimenez.gallego@gmail.com, ORCID: 0000-0001-7170-5137, Universidad Politécnica de Cartagena). 
4. Date of data collection: winter 2018 and spring 2019 in the morning and the afternoon
5. Geographic location: Different locations of city and countryside in Murcia, Spain. Latitude/longitude: 37.992240, -1.130654 
6. Funding: This research was funded in the call for aid for R&D projects corresponding to the Programa Estatal de Investigación, Desarrollo e Innovación orientada a los retos de la sociedad 2016 by the Ministerio de Ciencia, Innovacion y Universidades - Agencia Estatal de Investigacion (AEI) and co-financed by the European Regional Development Fund (FEDER), project 'Sensor design and sensitivity study of water stress indicators' ARIFRUT (AGL2016-77282-C3-3-R) | Ministerio de Educación, Cultura y Deporte (FPU17/05155) | Fundación Séneca, Agencia de Ciencia y Tecnología of the Region of Murcia under the ‘Excellence Group Program 19895/GERM/15’.
7. Recommended citation for this dataset: Dataset for the paper "Segmentation of Multiple Tree Leaves Pictures with Natural Backgrounds using Deep Learning for Image-Based Agriculture Applications" (DOI: 10.3390/app10010202)
8. Language of the dataset: English

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SHARING/ACCESS/CONTEXT INFORMATION
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1. Usage Licenses/restrictions placed on the data: CC-BY 4.0
2. Links to publications outputs that cite the data: https://doi.org/10.3390/app10010202

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DATA & FILE OVERVIEW
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1. File List:
README.txt - This file
/images - folder with 112 JPG images from different species of fruit trees: lemon (Citrus limon), orange (Citrus sinensis), almond (Prunus dulcis), olive (Olea europaea), loquat (Eriobotrya japonica), fig (Ficus carica), cherry (Cerasus) and walnut (Juglans regia) trees. The pictures were collected by means of mobile devices (smartphones)  
/masks - folder with 112 PNG images of the human supervised masks corresponding to the JPG images with the same names in the /images folder

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METHODOLOGICAL INFORMATION
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Please refer to the paper "Segmentation of Multiple Tree Leaves Pictures with Natural Backgrounds using Deep Learning for Image-Based Agriculture Applications" (DOI: 10.3390/app10010202)