Jovana Gentić 🦆
"Bird song classification" is an audio classification model. We used 1D Convolutional Neural Networks (CNN) to learn a multiclass classifier on dataset of 5422 bird songs, belonging to 5 classes. We used spectrograms as inputs to the model . This repo is written in Tensorflow.
To download dataset, go to https://www.kaggle.com/datasets/vinayshanbhag/bird-song-data-set/data. Dataset folder should be called dataset and it should be placed in the same folder as data.py.
pip install -r requirements
To train the model, execute command:
python train.py
To evaluate the model, execute command:
python evaluate.py
