Bio-logger Ethogram Benchmark: A benchmark for computational analysis of animal behavior, using animal-borne tags

This repository contains the datasets presented in our forthcoming work: B. Hoffman, M. Cusimano, V. Baglione, D. Canestrari, D. Chevallier, D. DeSantis, L. Jeantet, M. Ladds, T. Maekawa, V. Mata-Silva, V. Moreno-González, A. Pagano, E. Trapote, O. Vainio, A. Vehkaoja, K. Yoda, K. Zacarian, A. Friedlaender, and C. Rutz, "A benchmark for computational analysis of animal behavior, using animal-borne tags," 2023. It also contains the experiment results which are reported in the paper. Standardized code to implement, train, and evaluate models can be found at https://github.com/earthspecies/BEBE/. Please note the licenses in each dataset folder. Zip folders beginning with "formatted": These are the datasets we used to run the experiments reported in the benchmark paper. Zip folders beginning with "raw": These are the unprocessed datasets used in BEBE. Code to processing a these raw datasets into the format used by BEBE can be found at https://github.com/earthspecies/BEBE-datasets/. Zip folders beginning with "experiments": Results of the cross-validation experiments reported in the paper, as well as hyperparameter optimization and cross-validation runs. Confusion matrices for all experiments can also be found here.