Machine learning to classify animal species in camera trap images: Applications in ecology
MA Tabak, MS Norouzzadeh… - Methods in Ecology …, 2019 - Wiley Online Library
Motion‐activated cameras (“camera traps”) are increasingly used in ecological and
management studies for remotely observing wildlife and are amongst the most powerful …
management studies for remotely observing wildlife and are amongst the most powerful …
Identifying animal species in camera trap images using deep learning and citizen science
M Willi, RT Pitman, AW Cardoso… - Methods in Ecology …, 2019 - Wiley Online Library
Ecologists often study wildlife populations by deploying camera traps. Large datasets are
generated using this approach which can be difficult for research teams to manually …
generated using this approach which can be difficult for research teams to manually …
Improving the accessibility and transferability of machine learning algorithms for identification of animals in camera trap images: MLWIC2
Motion‐activated wildlife cameras (or “camera traps”) are frequently used to remotely and
noninvasively observe animals. The vast number of images collected from camera trap …
noninvasively observe animals. The vast number of images collected from camera trap …
Three critical factors affecting automated image species recognition performance for camera traps
Ecological camera traps are increasingly used by wildlife biologists to unobtrusively monitor
an ecosystems animal population. However, manual inspection of the images produced is …
an ecosystems animal population. However, manual inspection of the images produced is …
[HTML][HTML] ClassifyMe: A Field-Scouting Software for the Identification of Wildlife in Camera Trap Images
Simple Summary Camera trap wildlife surveys can generate vast amounts of imagery. A key
problem in the wildlife ecology field is that vast amounts of time is spent reviewing this …
problem in the wildlife ecology field is that vast amounts of time is spent reviewing this …
Robust ecological analysis of camera trap data labelled by a machine learning model
Ecological data are collected over vast geographic areas using digital sensors such as
camera traps and bioacoustic recorders. Camera traps have become the standard method …
camera traps and bioacoustic recorders. Camera traps have become the standard method …
Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning
MS Norouzzadeh, A Nguyen… - Proceedings of the …, 2018 - National Acad Sciences
Having accurate, detailed, and up-to-date information about the location and behavior of
animals in the wild would improve our ability to study and conserve ecosystems. We …
animals in the wild would improve our ability to study and conserve ecosystems. We …
An evaluation of platforms for processing camera‐trap data using artificial intelligence
Camera traps have quickly transformed the way in which many ecologists study the
distribution of wildlife species, their activity patterns and interactions among members of the …
distribution of wildlife species, their activity patterns and interactions among members of the …
Efficient pipeline for camera trap image review
Biologists all over the world use camera traps to monitor biodiversity and wildlife population
density. The computer vision community has been making strides towards automating the …
density. The computer vision community has been making strides towards automating the …
Animal Scanner: Software for classifying humans, animals, and empty frames in camera trap images
Camera traps are a popular tool to sample animal populations because they are
noninvasive, detect a variety of species, and can record many thousands of animal …
noninvasive, detect a variety of species, and can record many thousands of animal …
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