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The dataset birdclef_2023_train primarily contains bird audio data and associated label information. Its features include audio files, primary labels, secondary labels, type, latitude, longitude, scientific name, common name, author, license, rating, URL, and embedding vectors. The dataset is divided into a training set, which includes 16,941 samples, with a total size of 5,388,534,029.882 bytes and a download size of 5,367,714,895 bytes.

HiFSOD‑Bird is the first dataset for the HIFSOD problem. It contains 176,350 wild bird images, divided into 1,432 categories, organized into a four‑level taxonomy comprising 32 orders, 132 families, 572 genera, and 1,432 species.