Large-scale Identification of Birds in Audio Recordings
نویسنده
چکیده
The Bird Identification Task of the LifeCLEF 2014 lab is to automatically identify 501 different species in over 4000 audio recordings collected by amateur and expert ornithologists through a citizen sciences initiative. It is one of the biggest bird classification challenges so far considering the quality, quantity and variability of the recordings and the very large number of different species to be classified. The solution presented here achieves a Mean Average Precision of 51.1% on the test set and 53.9% on the training set with an Area Under the Curve of 91.5% during cross-validation.
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