Bird Song Classification

Have you ever wondered about the name of the bird you just heard singing?

Bird song recognition

This project was designed to be a collaboration on a real-life problem which machine learning can help to solve with a typical structure of a data science project including data research and analysis, data preparation, creation of models, analysis of results (or model improvement) and the final presentation. After the weeks of work, the group has managed to build a solution that predicts the right bird’s name with 87% accuracy on the test sample. Are you curious about the solution that has been built? We invite you to travel into a world of birds songs.

our team

Female data scientists, PhD candidates, ornithologists, data analysts and software engineers who had prior experience with Python joined forces in a series of two-week-long sprints to work together on the project.

Flying bird

What bird is singing nearby?

website’s screenshot

Learn more about the project

Project’s website:

More about the project:

Github repository:

More about birds recognition in AI:

Repostory with useful resources

During the project we have managed to gather tons of useful resources regarding birds’ song analysis starting from datasets and papers, and ending on the open-source projects and challenges. Intrested? Feel free to check it out!

Here is detailed list:

Agnieszka Mikołajczyk
Agnieszka Mikołajczyk
Passionate PhD Candidate, ML researcher at Voicelab, PI in pre-doctoral research grant

Author of scientific papers and publications interested in the issue of machine learning, explainable AI, image analysis as the way of improving people’s everyday life. A PhD student who cares about the further development and training opportunities within interests.

Magdalena Kortas
Magdalena Kortas
Data Scientist | Women in Machine Learning & Data Science Poland | AI4Good Machine Learning Engineer

Data Scientist in Data Engineering team working on data in the travel industry. Active AI4Good Machine Learning Engineer.

Women in Machine Learning and Data Science Trójmiasto