Skip to content

Latest commit

 

History

History
26 lines (20 loc) · 1.03 KB

README.md

File metadata and controls

26 lines (20 loc) · 1.03 KB

Arctic mammal classification

Deep learning model for acoustic detection and classification of Bowhead whales. This repo contains code for the binary classification model, two classes are: Bowhead whales (BH), Other/background.

Following are some statistics about the dataset and model:

  • CB-50 and CB-300 dataset for training and testing
  • CB-50 contains 11138 BH annotations, CB-300 contains 5983 BH annotations
  • Average duration of BH annotations: 1.78 sec
  • Average low and high frequency of BH: 90.38 - 530.80 Hz
  • Spectrogram window size: 3 sec
  • DenseNet model

Training data distributation

Alt text

Overall workflow diagram

Alt text

Results

Training & validation performance

Following image shows the training and validation loss curves Alt text

Test performance

Following graph shows the performance metrices on the test annotations Alt text