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 all its extra tools for Windows, MacOS and Linux.

Installation

User guide

Learn how to use idtracker.ai, from beginner to advanced usages.

User guide

Included tools

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

Tools

Good videos

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

Good videos

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Romero-Ferrero, F., Bergomi, M.G., Hinz, R.C., Heras, F.J.H., de Polavieja, G.G., idtracker.ai: tracking all individuals in small or large collectives of unmarked animals. Nature Methods 16, 179 (2019) [PDF, arXiv]

The data used in this article can be found in this repository together with videos, their optimal tracking parameters and the resulting tracked sessions.

Google Drive data repository

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Source Code

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

https://gitlab.com/polavieja_lab/idtrackerai

Can animals really be recognized?

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

Identifying fish

Google Groups

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

https://groups.google.com/g/idtrackerai_users

Polavieja Lab

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

https://polaviejalab.org/

Contact

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

mailto:idtrackerai@gmail.com

FAQs

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

FAQs

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