Research graph
References from MEWC: A user-friendly AI workflow for customised wildlife-image classification. Local targets link to admitted publications; unresolved targets remain external evidence.
zaandahl/mewc: MEWC v2.0.0 (v2.0.0)
10.5281/zenodo.15461381 · 2025 · External reference
Wildlife insights: A platform to maximize the potential of camera trap and other passive sensor wildlife data for the planet
10.1017/s0376892919000298 · 2020 · External reference
Efficient pipeline for camera trap image review
10.48550/arxiv.1907.06772 · 2019 · External reference
Deep learning as a tool for ecology and evolution
10.1111/2041-210x.13901 · 2022 · External reference
Data from: Mega-Efficient Wildlife Classifier (MEWC) Case Study.
10.25959/wm5g-b990 · 2023 · External reference
Trapper: An open source web‐based application to manage camera trapping projects
10.1111/2041-210x.12571 · 2016 · External reference
Wildlife surveillance using deep learning methods
10.1002/ece3.5410 · 2019 · External reference
Unresolved reference
2021 · External reference
Applications for deep learning in ecology
10.1111/2041-210x.13256 · 2019 · External reference
Multispecies facial detection for individual identification of wildlife: a case study across ursids
10.1007/s42991-021-00168-5 · 2022 · External reference
Imagenet: A large-scale hierarchical image database
10.1109/cvpr.2009.5206848 · 2009 · External reference
ClassifyMe: A field-scouting software for the identification of wildlife in camera trap images
10.3390/ani10010058 · 2020 · External reference
Deep learning‐based methods for individual recognition in small birds
10.1111/2041-210x.13436 · 2020 · External reference
The transformation of open source software
10.2307/25148740 · 2006 · External reference
poems: R package for simulating species' range dynamics using pattern‐oriented validation
10.1111/2041-210x.13720 · 2021 · External reference
Design patterns for wildlife-related camera trap image analysis
10.1002/ece3.5767 · 2019 · External reference
Big data and the future of ecology
10.1890/120103 · 2013 · External reference
<span class="italique">Camelot</span>—intuitive software for camera-trap data management
10.1017/s0030605317001818 · 2018 · External reference
What makes ImageNet good for transfer learning?
10.48550/arxiv.1608.08614 · 2016 · External reference
ImageNet classification with deep convolutional neural networks
2012 · External reference
Convolutional networks for images, speech, and time series
10.5555/303568.303704 · 1995 · External reference
EcoAssist: A no-code platform to train and deploy custom YOLOv5 object detection models
10.21105/joss.05581 · 2023 · External reference
Unresolved reference
2019 · External reference
Animal recognition and identification with deep convolutional neural networks for automated wildlife monitoring
10.1109/dsaa.2017.31 · 2017 · External reference
A deep active learning system for species identification and counting in camera trap images
10.1111/2041-210x.13504 · 2021 · External reference
Customized software to streamline routine analyses for wildlife management
10.1002/wsb.841 · 2018 · External reference
Sherlock-A flexible, low-resource tool for processing camera-trapping images
10.1111/2041-210x.14254 · 2024 · External reference
Large scale wildlife monitoring studies: statistical methods for design and analysis
10.1002/env.514 · 2002 · External reference
Unresolved reference
2016 · External reference
Avoiding overfitting: A survey on regularization methods for convolutional neural networks
10.1145/3510413 · 2022 · External reference
Three critical factors affecting automated image species recognition performance for camera traps
10.1002/ece3.6147 · 2020 · External reference
Scaling‐up camera traps: Monitoring the planet's biodiversity with networks of remote sensors
10.1002/fee.1448 · 2017 · External reference
Democratising AI for ecology: MEWC delivers custom wildlife classification to all
10.24072/pci.ecology.100787 · 2025 · External reference
Machine learning to classify animal species in camera trap images: Applications in ecology
10.1111/2041-210x.13120 · 2019 · External reference
An evaluation of platforms for processing camera‐trap data using artificial intelligence
10.1111/2041-210x.14044 · 2023 · External reference
Robust ecological analysis of camera trap data labelled by a machine learning model
10.1111/2041-210x.13576 · 2021 · External reference
Identifying animal species in camera trap images using deep learning and citizen science
10.1111/2041-210x.13099 · 2019 · External reference
A Comprehensive Survey of Image Augmentation Techniques for Deep Learning
10.1016/j.patcog.2023.109347 · 2023 · External reference
Software to facilitate and streamline camera trap data management: A review
10.1002/ece3.4464 · 2018 · External reference
