Testing and training data for machine learning models to detect, classify and count blackbirds damaging agriculture using drone-based imagery

Research Data Publication File Index

File Folder Description
_metadata_NWRC-RDS-2025-002.html   Metadata file in HTML format containing a description of the content, quality, and other characteristics of the data.
_metadata_NWRC-RDS-2025-002.xml   Metadata file in Extensible Markup Language (XML) format containing a description of the content, quality, and other characteristics of the data.
_variable_descriptions.csv \Data Comma-separated values (CSV) file containing a list and description of variables found in the data file.
EcolInfom_PerformanceDataset.csv \Data CSV file containing data for evaluating the performance (i.e., accuracy and percent correct) of the Faster-RCNN model used to detect and classify individual blackbirds by species and for red-winged blackbirds (RWBL) sex and age class. This file can be used with the provided R code (\Supplements\Duttenhefner_etal_2025_EcolInform.R) to analyze the results as reported in Duttenhefner et al. (2025).
Duttenhefner_etal_2025_EcolInform.R \Supplements Text file containing R code. This code can be used with the provided CSV files to replicate results step by step as they appear in Duttenhefner et al. (2025).
Trial [###] - [DESCRIPTION].xml \Supplements\BirdAnnotationXML XML files (131) containing annotations used to train the Faster Region-based Convolutional Neural Network (Faster-RCNN) models to detect individual blackbirds, classify individual blackbirds by species and for RWBL sex and age class, and count blackbirds. These files were created while manually annotating photos with LabelImg (Tzutalin; v1.8.1).
Trial [###] - [DESCRIPTION].jpg \Supplements\BirdFrames Joint Photographic Experts Group (JPG) files (131) containing images used in the Faster Region-based Convolutional Neural Network (Faster-RCNN) models to detect individual blackbirds, classify individual blackbirds by species and for RWBL sex and age class, and count blackbirds.
Trial [###] - [DESCRIPTION].jpg \Supplements\FlockFrames JPG files (400) containing images used in the ResNet-18 convolutional neural network (CNN) model to detect flocks of varying size and distance from the camera.