Main page

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

Installation and user guide

Learn how to install and use idtracker.ai and all its extra tools.

Included tools

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

Good videos

How to record good videos, experimental setups and example videos.

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Article data

The data used in this article can be found in the Data section

Romero-Ferrero, F., Bergomi, M.G., Hinz, R.C., Heras, F.J.H., de Polavieja, G.G., Nature Methods, 2019. idtracker.ai: tracking all individuals in small or large collectives of unmarked animals [PDF, arXiv].

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Source Code

The code is open and accessible at polavieja_lab/idtrackerai, feel free to contribute.

Can animals really be recognized?

A Jupyter Notebook that proves that zebrafish can be distinguished using a CNN.

Google Groups

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

Polavieja Lab

This work belongs to Polavieja lab, Mathematics of Behavior and Intelligence (Champalimaud Foundation, Lisbon, Portugal).

Contact

If you encounter any problem or doubt, contact us at idtrackerai@gmail.com.

FAQs

See the frequently asked questions page to see if your issue has been already answered.