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Browse files- .gitattributes +2 -0
- LICENSE +1 -0
- README.md +8 -3
- classic/ecopulse_cnn.keras +3 -0
- classic/ecopulse_cnn_best.keras +3 -0
- quantized/ecopulse_cnn_int8.tflite +3 -0
.gitattributes
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LICENSE
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MIT
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README.md
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Task: bioacoustic coarse classification
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Classes: bird, human, motor, rain_wind, insect, animal
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Input: log-mel spectrogram 149x40x1
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Model size: 73.6 KB INT8
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Target: Raspberry Pi Pico 2 W / TinyML
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Test accuracy: 87.44 %
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Datasets: ESC-50, FSD50K, InsectSet32, filtered bird dataset
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Limitations: modèle expérimental, pas encore validé terrain
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classic/ecopulse_cnn.keras
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