Bird Detection Datasets Each dataset is organized into train and test splits, generally with 90% of images in train. Whereever possible the train/test split does not cross individual flights or locations. The general format is a csv with the columns: image_path, xmin, xmax, ymin, ymax, label The coordinates relative to the image origin, there is no geographic projection in the images. Bird Detection Models Using https://github.com/weecology/BirdDetector and the deepforest python package https://deepforest.readthedocs.io/. A single model for future use was trained using all training and test data together. (Bird.pt). Using the deepforest python package ``` from deepforest import main import torch m = main.deepforest() m.model.load_state_dict(torch.load(<path to .pt>)) ``` More information can found [biorxiv link].