idtracker.ai#

idtracker.ai tracks up to 100 unmarked animals from videos recorded in laboratory conditions using artificial intelligence. Free and open source.

Installation

Install idtracker.ai and its tools on Windows, macOS or Linux.

User guide

Learn to use idtracker.ai, from your first video to the advanced parameters.

Included tools

Validate trajectories, generate videos, match identities across videos and analyze the results.

Good videos

How to record videos that track well, with example videos and setups.

Source Code

idtracker.ai is open source. Browse the code, report issues and contribute on GitLab.

Can animals really be recognized?

A Jupyter notebook showing that zebrafish can be told apart by an embedding network trained with contrastive learning.

Google Groups

Join the idtracker.ai users group to ask questions and hear about new releases.

Polavieja Lab

This is work from the de Polavieja lab, Mathematics of Behavior and Intelligence (Champalimaud Foundation, Lisbon, Portugal).

Contact

For any problem or question, email us at info@idtracker.ai.

FAQs

Check whether your question has already been answered.

Funded by Fundação Champalimaud and FCT under project PTDC/BIA-COM/5770/2020