bird-species-embedding-model

Building an image embedding model using timm PyTorch library.

Notebooks

• Prepare dataset: Create a smaller subset of 50 bird species.

• Using a pre-trained model: Use a pre-trained model to extract features from the dataset.

• Fine-tuning a model: Fine-tune a pre-trained model on the dataset.

Here are some conda/mamba commands to get you started:

# install mamba package manager
conda install mamba -n base -c conda-forge

# create a new environment
mamba create -n bird-species-env python==3.10.14

# activate the new environment
mamba activate bird-species-env

# list environments
maamba env list

# remove an environment
mamba env remove -n bird-species-env-2

# initialize the emamba first
mamba init zsh

# source the mamba shell
source ~/.zshrc

# activate the new environment
mamba activate bird-species-env

# create export environment to a file
mamba env export > bird-species-env.yml

# install packages from the environment file
mamba env create -f bird-species-env.yml

# deactivate the environment
mamba deactivate