Improving the accessibility and transferability of machine learning algorithms for identification of animals in camera trap images: MLWIC2

Three critical factors affecting automated image species recognition performance for camera traps

(2020) Stefan Schneider et al.   Ecology and Evolution

Insights and approaches using deep learning to classify wildlife

(2019) Zhongqi Miao et al.   Scientific Reports

Zilong: A tool to identify empty images in camera-trap data

(2019) Weideng Wei et al.   Ecological Informatics

Thinking like a naturalist: Enhancing computer vision of citizen science images by harnessing contextual data

(2019) J. Christopher D. Terry et al.   Methods in Ecology and Evolution

Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning

(2018) Mohammad Sadegh Norouzzadeh et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Identifying animal species in camera trap images using deep learning and citizen science

(2018) Marco Willi et al.   Methods in Ecology and Evolution

Machine learning to classify animal species in camera trap images: Applications in ecology

(2018) Michael A. Tabak et al.   Methods in Ecology and Evolution

Animal Detection From Highly Cluttered Natural Scenes Using Spatiotemporal Object Region Proposals and Patch Verification

(2016) Zhi Zhang et al.   IEEE TRANSACTIONS ON MULTIMEDIA

Spatiotemporal hierarchical modelling of species richness and occupancy using camera trap data

(2015) Mathias W. Tobler et al.   JOURNAL OF APPLIED ECOLOGY

Snapshot Serengeti, high-frequency annotated camera trap images of 40 mammalian species in an African savanna

(2015) Alexandra Swanson et al.   Scientific Data