Article

A versatile semiautomated image analysis workflow for time-lapsed camera trap image classification

2022-12-30

Abstract excerpt

<h4>ABSTRACT</h4> Camera trap arrays can generate thousands to millions of images that require exorbitant time and effort to classify and annotate by trained observers. Computer vision has evolved as an automated alternative to manual classification. The most popular computer vision solution is the supervised Machine Learning technique, which uses labeled images to train automated classification algorithms. We pr...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 609d46f8-b75f-5145-b41a-a467f199bb8e
DOI: 10.1101/2022.12.28.522027

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A versatile semiautomated image analysis workflow for time-lapsed camera trap image classificationDOI 10.1101/2022.12.28.522027Read

The DeepFaune initiative: a collaborative effort towards the automatic identification of French fauna in camera-trap imagesSemantic proximity Read

Application of Machine Learning Tools for Waterbird Colony Monitoring Provides Gains in Precision and Temporal EfficiencySemantic proximity Read

High performance machine learning models can fully automate labeling of camera trap images for ecological analysesSemantic proximity Read

Deep learning-based methods for individual recognition in small birdsSemantic proximity Read

Adopting deep learning methods for airborne RGB fluvial scene classificationSemantic proximity Read

Identification of Araucaria angustifolia trees in an urban forest fragment using UAV images and YOLOv7 structureSemantic proximity Read

A general deep learning model for bird detection in high resolution airborne imagerySemantic proximity Read

Accelerating the discovery of biodiversity by detecting “new” species based on machine learning methodSemantic proximity Read

Annotating opportunistic camera-trap images with conditions of recording, for the disease surveillance of Eurasian lynx ( <i>Lynx lynx</i> )Semantic proximity Read

Toward a Methodology for Mosquito Egg Detection and Counting Using Standardized Ovitrap Data in Vector SurveillanceSemantic proximity Read

FlightTrackAI: a convolutional neural network-based software for tracking the flight behaviour of Aedes aegypti mosquitoesSemantic proximity Read

Advancing Wildlife Image Analysis: A Graph Attention Contrastive Learning Approach for Region-Specific Mammal ClassificationSemantic proximity Read