UAV-derived waterfowl thermal imagery dataset
Description
This dataset is the research data for: Accurately Wildlife Censusing by Using Deep Learning for UAV-Based Thermal Imageries The dataset (00_UAV-derived Waterfowl Thermal Imagery Dataset) was captured in a playa wetland area (Straightwater WMA) of Nebraska, the United States, during the spring season at 200 feet AGL flight height. The dataset contains 355 thermal images with more than one wildlife presented (512x640 px, 7.5cm/pixel GSD) and 187 images without wildlife presented. The corresponding label was given in a CSV file with five columns where the first column indicates the image name, and the last four columns indicate the position of each wildlife in the corresponding image (every row indicates a single wildlife). Every wildlife was represented by a bounding box defined by the last four columns (the position of the upper left corner the bounding box was expressed as (x,y) which is equal to the (column, row) of the image, the width and height indicate the pixel additions based on the upper left corner (x, y) in the column and row direction respectively). The dataset can be used as training data for automated detection with machine learning or deep learning algorithm. The ccorresponding RGB images were also given in the '01 RGB Images' file. The dataset can be used as visual references to label the thermal training dataset. The orthomosaic of Smith WPA, which contains 2915 wildlife, was given in '02 Test Orthomosaic'. The orthomosiac can be used as test data. The corresponding labels were also given in the same format as above. l