Published November 3, 2026 | Version 1.0

Doñana National Park Dataset (DNP_DS)

  • 1. Departamento de Ciencias Integradas y Centro de Estudios Avanzados en Física, Matemáticas y Computación, Facultad de Ciencias Experimentales, Universidad de Huelva, Huelva, 21071, Spain
  • 2. Department of Integrated Sciences, Faculty of Experimental Sciences, University of Huelva, Huelva, Spain
  • 3. 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
  • 4. Department of Integrated Sciences, Faculty of Experimental Sciences, University of Huelva, Huelva, Spain; Science and Technology Research Centre, Universidad de Huelva, Huelva, Spain
  • 5. Department Information Technologies, University of Huelva, 21007 Huelva, Spain
  • 6. Institute of Nature Conservation, Polish Academy of Sciences, al. Adama Mickiewicza 33, 31-120 Kraków, Poland

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.

Files

README.md

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Additional details

Related works

Dates

Collected
2020-10-19/2023-03-17
Period during which the data was collected.