LifeCLEF Bird Identification Task 2017

Hervé Goëau (1) , Hervé Glotin (2) , Willem-Pier Vellinga (3) , Robert Planqué (4) , Alexis Joly (5)

1 UMR AMAP - Botanique et Modélisation de l'Architecture des Plantes et des Végétations
2 LSIS - Laboratoire des Sciences de l'Information et des Systèmes
3 Xeno-canto foundation
4 Department of Mathematics [Amsterdam]
5 ZENITH - Scientific Data Management

The LifeCLEF challenge BirdCLEF offers a large-scale proving ground for system-oriented evaluation of bird species identification based on audio recordings of their sounds. One of its strengths is that it uses data collected through Xeno-canto, the worldwide community of bird sound recordists. This ensures that BirdCLEF is close to the conditions of real-world application, in particular with regard to the number of species in the training set (1500). The main novelty of the 2017 edition of BirdCLEF was the inclusion of soundscape recordings containing time-coded bird species annotations in addition to the usual Xeno-canto recordings that focus on a single foreground species. This paper reports an overview of the systems developed by the five participating research groups, the methodology of the evaluation of their performance, and an analysis and discussion of the results obtained.

Mots clés: Identification; Benchmark; Ecological monitoring; Bioacoustics; Song; Bird; Call; Species; Retrieval; Audio; Collection; Fine-grained classification; Evaluation; LifeCLEF

Domaines: Informatique [cs]; Sciences du Vivant [q-bio]

Hervé Goëau, Hervé Glotin, Willem-Pier Vellinga, Robert Planqué, Alexis Joly. LifeCLEF Bird Identification Task 2017. CLEF: Conference and Labs of the Evaluation Forum, Sep 2017, Dublin, Ireland. ⟨hal-01629175⟩