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Spectrogram segmentation for underwater noise classification

We use transfer learning on yolov7 to detect bounding boxes around potential dolphin whistles.

Results on REPMUS datasets

Data Type Training Labels Precision Recall mAP@0.5
REP23 430 0.59 0.50 0.31
REP23+aug 1300 0.66 0.69 0.55
REP23+21+aug 5000 0.79 0.69 0.77

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Underwater noise detection and classification with spectrogram segmentation.

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