Warblr is a dataset for the acoustic detection of birds. The dataset comes from a UK bird-sound crowdsourcing research spinout called Warblr. From this initiative the authors collected over 10,000 ten-second smartphone audio recordings from around the UK. The audio totals around 28 hours duration. The audio covers a wide distribution of UK locations and environments, and includes weather noise, traffic noise, human speech and even human bird imitations. It is directly representative of the data that is collected from a mobile crowdsourcing initiative. Annotations of the Warblr dataset are performed by a network of volunteers.
The BIRDeep Audio Annotations dataset is a collection of bird vocalizations from Doñana National Park, Spain. It was created as part of the BIRDeep project, which aims to optimize the detection and classification of bird species in audio recordings using deep learning techniques. The dataset is intended for use in training and evaluating models for bird vocalization detection and identification.
The Western Mediterranean Wetlands Bird Dataset is a collection of birds' vocalizations of different lengths that primarily consists of 5,795 labelled audio clips derived from 1,098 recordings, totalling 201.6 minutes or 12,096 seconds alongside with corresponding annotations. It also comes with Mel spectrogram version of the data, where an image represents a 1-second window of the original audio, resulting in a total of 17,536 spectrographic images. These are stored in matrix form within .npy files. These are the species covered: * Acrocephalus arundinaceus * Acrocephalus melanopogon * Acrocephalus scirpaceus * Alcedo atthis * Anas strepera * Anas platyrhynchos * Ardea purpurea * Botaurus stellaris * Charadrius alexandrinus * Ciconia ciconia * Circus aeruginosus * Coracias garrulus * Dendrocopos minor * Fulica atra * Gallinula chloropus * Himantopus himantopus * Ixobrychus minutus * Motacilla flava * Porphyrio porphyrio * Tachybaptus ruficollis Can be considered a subset retrieved from the Xeno-Canto citizen science portal which is a database containing 716,298 recordings of bird sound at the time of writing this.