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@@ -112,7 +112,7 @@ Best used as a **secondary model** alongside BirdNET V2.4 for dual-model detecti
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  Quantized from the original [Google Perch V2 TFLite model](https://www.kaggle.com/models/google/bird-vocalization-classifier/tensorFlow2/perch_v2) using TensorFlow Lite Calibrator with dynamic range quantization.
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- Created as part of the [BirdEngine](https://github.com/bjorn) project — an open-source bird detection engine for Raspberry Pi, replacing BirdNET-Pi with modern dual-model inference.
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  ## License
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  Quantized from the original [Google Perch V2 TFLite model](https://www.kaggle.com/models/google/bird-vocalization-classifier/tensorFlow2/perch_v2) using TensorFlow Lite Calibrator with dynamic range quantization.
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+ Created as part of the [Birdash](https://github.com/ernens/birdash) project — an open-source bird detection dashboard and engine for Raspberry Pi, replacing BirdNET-Pi with modern dual-model inference.
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  ## License
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