donadataset / data.yaml
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train: images/train
val: images/val
test: images/test
nc: 18
names:
0: Ave
1: Felis catus
2: Bos taurus
3: Canis familiaris
4: Herpestes ichneumon
5: Meles meles
6: Oryctolagus cuniculus
7: Dama dama
8: Genetta genetta
9: Equus sp
10: Homo sapiens
11: Lepus granatensis
12: Lynx pardinus
13: Cervus elaphus
14: Vulpes vulpes
15: Sus scrofa
16: Vehicle
17: Empty
title: Doñana National Park Dataset (DNP_DS)
description: 'Camera-trap images from Doñana National Park (Spain) annotated with
bounding boxes for object detection in YOLO format. It contains 33,914 images split
into train, val and test, with 38,492 annotated objects of 15 animal categories
(plus empty images): mammals identified to species or genus (e.g. Cervus elaphus,
Dama dama, Sus scrofa, Vulpes vulpes, Lynx pardinus, Meles meles, Oryctolagus cuniculus),
domestic animals (Bos taurus, Canis familiaris, Felis catus, Equus sp) and a general
bird category (Ave). It is meant for training and evaluating wildlife detection
models.'
version: '1.0'
license:
id: CC-BY-NC-4.0
name: Creative Commons Attribution-NonCommercial 4.0 International
url: https://creativecommons.org/licenses/by-nc/4.0/
authors:
- name: Javier Calzada Samperio
affiliation: Departamento de Ciencias Integradas y Centro de Estudios Avanzados
en Física, Matemáticas y Computación, Facultad de Ciencias Experimentales, Universidad
de Huelva, Huelva, 21071, Spain
- name: Santiago Gutiérrez-Zapata
affiliation: Department of Integrated Sciences, Faculty of Experimental Sciences,
University of Huelva, Huelva, Spain
- name: Simone Santoro
affiliation: Department of Integrated Sciences, Faculty of Experimental Sciences,
University of Huelva, Huelva, Spain; Department of Natural Sciences and Environmental
Health, University of South-Eastern Norway, Bø, Norway
- name: Manuel E. Gegundez-Arias
affiliation: Department of Integrated Sciences, Faculty of Experimental Sciences,
University of Huelva, Huelva, Spain; Science and Technology Research Centre, Universidad
de Huelva, Huelva, Spain
- name: Iñaki Fernández de Viana
affiliation: Department Information Technologies, University of Huelva, 21007 Huelva,
Spain
- name: Lenka Straková
affiliation: Department of Integrated Sciences, Faculty of Experimental Sciences,
University of Huelva, Huelva, Spain
- name: Agata Kaczówka
affiliation: Institute of Nature Conservation, Polish Academy of Sciences, al. Adama
Mickiewicza 33, 31-120 Kraków, Poland
publisher:
name: University of Huelva
website: https://www.uhu.es/
copyright_holders:
- University of Huelva
funding: Additional support was provided by Fundación Biodiversidad, Ministerio para
la Transición Ecológica y el Reto Demográfico, Project AI-CENSUS and the Programa
Operativo FEDER Andalucía 2014–2020, Project UHU-202028.
acknowledgements: The authors acknowledge the University of Huelva for providing the
computational infrastructure and technical resources used in this study. We also
acknowledge the contributions of the WildINTEL consortium and the Biodiversa+ partnership,
which provided the collaborative framework within which this research was conducted.
The authors gratefully acknowledge Sara Beery and the contributors to the Caltech
Camera Traps (CCT) dataset for making this valuable resource publicly available.
Images from the Caltech Camera Traps dataset were used as part of the training data
for model development; these images are not redistributed as part of the dataset
accompanying this study.