arrow_back WildCount Dataset
General information
Contributor: Andrea Letizia
Other contributors: Christophe Cérin, Didier Donsez
Institution: Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, LIG
Description: This dataset was collected using automatic camera traps installed in the Écrins National Park, as part of a wildlife monitoring program. It contains images of wild animals categorized into 10 distinct species classes, and an empty class. each representing a different animal observed in its natural environment. It contain day and night images from all the seasons Animal Classes: Badger, Chamois, Roe deer, Dog, Squirrel, Hare, Wolf, Mustelid, Fox, Wild boar, Empty The dataset is divided into training and testing sets. Data augmentation techniques have been applied to certain classes within the training set to enhance model training.
Readme file
Archive file 1 download
inventory_2 WildCount_Dataset.zip
info You need to login to make a download request.
Details
External identifier:
doi:10.18709/perscido.2025.06.ds422
Subjects:
Geography,
Environmental science and ecology,
Computer science,
Engineering
Keywords:
Wild boar,
Squirrel,
Badger,
Day and Night Images,
Mustelid,
,
Empty,
Camera Trap Images,
Biodiversity Dataset,
Animal Species Classification,
Ecological Data,
Animal,
Wildlife Monitoring,
Roe deer,
Écrins National Park,
Fox,
Chamois,
Wolf,
Hare
Encoding format:
JPG
Citation
Andrea Letizia, Christophe Cerin, Didier Donsez , "WildCount Dataset", 2025 Published via PerSCiDO.