This repo releases the data and code for the paper:
- MCAD-MM: A Benchmark Dataset and Method for Multi-Channel Acoustic Detection of Marine Mammals
The MCAD-MM introduces a novel approach for the acoustic detection of marine mammals using deep learning. It establishes a comprehensive benchmark dataset and methodology that encompasses a wide range of marine mammal acoustic signals and ambient seawater noises. This provides essential data support and methodological guidance for advancing research in related fields.
The MCAD-MM dataset can be downloaded via the Baidu Netdisk links.
For installation and data preparation instructions, please refer to PREPARATION.md.
To start using the benchmark method, follow the steps outlined in GETTING_STARTED.md.
The results are provided in MODEL_ZOO.md.
The data and code in this repo are released under the Apache 2.0 license.
We would like to express our gratitude to the contributors of the following codebases and data products: