Data for: Automated single species identification in camera trap images: architecture choice, training strategies, and the interpretation of performance metrics
L o a d i n g
Organization
Swiss Federal Institute of Aquatic Science and Technology (Eawag) - view all
Update frequencyunknown
Last updated3 weeks ago
OverviewArdea cinereacamera trapimage classificationmachine learningmonitoringobject detection
Scripts for: Automated single species identification in camera trap images: architecture choice, training strategies, and the interpretation of performance metrics, Burkard et al. (2024) EcoEvoRxiv (https://doi.org/10.32942/X2VW4V). A pipeline developed to train, evaluate and apply computer vision models to recognize the grey heron (Ardea cinerea) in camera trap data. Methods are described in preprint Burkard et al. (2024). Models trained and compared are a classification algorithm (MobileNetV2) and an object detection algorithm (YOLOv5x6).
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Harvest Object Idadc648c8-2166-4973-91d0-35fe54860bef
Harvest Source Idd0230d8d-fb2c-4caf-94e8-8ad52bd38ad9
Harvest Source TitleThe Eawag Research Data Institutional Repository
