3260 papers • 126 benchmarks • 313 datasets
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These leaderboards are used to track progress in bird-audio-detection-1
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Use these libraries to find bird-audio-detection-1 models and implementations
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A baseline system using convolutional neural networks for bird species recognition is presented and the code base is published as reference for participants in the 2018 LifeCLEF bird identification task.
This work proposes a sound detection and classification pipeline for analyzing complex soundscape recordings and identify birdcalls in the background and is robust against background sounds (e.g., airplanes, rain, etc).
Adding a benchmark result helps the community track progress.