Annotated Video Footage for Automated Identification and Counting of Fish in Unconstrained Seagrass Habitats

Monitoring of Coral Reefs Using Artificial Intelligence: A Feasible and Cost-Effective Approach

(2020) Manuel González-Rivero et al.   Remote Sensing

Automating the Analysis of Fish Abundance Using Object Detection: Optimizing Animal Ecology With Deep Learning

(2020) Ellen M. Ditria et al.   Frontiers in Marine Science

Deep learning for automated analysis of fish abundance: the benefits of training across multiple habitats

(2020) Ellen M. Ditria et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

A field and video annotation guide for baited remote underwater stereo‐video surveys of demersal fish assemblages

(2020) Tim Langlois et al.   Methods in Ecology and Evolution

A realistic fish-habitat dataset to evaluate algorithms for underwater visual analysis

(2020) Alzayat Saleh et al.   Scientific Reports

A comparison of deep learning and citizen science techniques for counting wildlife in aerial survey images

(2019) Colin J. Torney et al.   Methods in Ecology and Evolution

Umbrellas can work under water: Using threatened species as indicator and management surrogates can improve coastal conservation

(2017) Ben L. Gilby et al.   ESTUARINE COASTAL AND SHELF SCIENCE

A computer vision for animal ecology

(2017) Ben G. Weinstein   JOURNAL OF ANIMAL ECOLOGY

A survey of deep neural network architectures and their applications

(2017) Weibo Liu et al.   NEUROCOMPUTING

What is Big BRUVver up to? Methods and uses of baited underwater video

(2016) Sasha K. Whitmarsh et al.   REVIEWS IN FISH BIOLOGY AND FISHERIES

Deep learning

(2015) Yann LeCun et al.   NATURE

An innovative web-based collaborative platform for video annotation

(2013) Isaak Kavasidis et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Estimating population size, structure, and residency time for whale sharks Rhincodon typus through collaborative photo-identification

(2009) J Holmberg et al.   Endangered Species Research