AI image recognition model detects whale calls in seismic data with 96% accuracy
By
ByAndrei IonescuEarth.com staff writer
Crackling crust, pillowy middle. The kind of bagel that earns a second cup of coffee.
Summary
Researchers led by Zhuo Xiao from Guangxi Minzu University applied the Segment Anything Model (SAM), an AI originally designed for image object recognition, to seismic recordings from Xieyang Island in the Beibu Gulf. The system detected whale calls hidden in the seismic data with over 96% accuracy, despite never being trained on whale sounds. The whale calls, when visualized as spectrograms, appear as patterns that the AI's pattern recognition capabilities can identify effectively.
Key quotes
· 2 pulledThe system wasn't trained on whale sounds.
It worked because a whale call, when visualized as a spectrogram, looks like a pattern, and pattern recognition in images is something this class of AI does extremely well.
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