shrinathmadde/BirdCLEF-2023-Kaggle-Sound-Voice-Dataset-

The challenge in this competition is to identify which birds are calling in long recordings made in Kenya. This is an important task for scientists who monitor bird populations for conservation purposes. More accurate solutions could enable more comprehensive monitoring. # dvc-pipeline The goal of this competition is to use machine learning to identify Eastern African bird species by sound. ## STEPS FOR STAGE 01: get data ### STEP 01- Create a repository by using template repository ### STEP 02- Clone the new repository ### STEP 03- Create a conda environment after opening the repository in VSCODE ```bash conda create --prefix ./env python=3.7 -y ``` ```bash conda activate ./env ``` OR ```bash source activate ./env ``` ### STEP 04- install the requirements ```bash pip install -r requirements.txt ``` ### STEP 05- initialize the dvc project ```bash dvc init ``` ### STEP 06- commit and push the changes to the remote repository