idtrackerai

Welcome to idtracker.ai’s documentation!

idtracker.ai allows to track groups of up to 100 unmarked animals from videos recorded in laboratory conditions.

_images/fish_tracked.png _images/flies_tracked.png _images/14ants.png _images/mice.png _images/2fish.png

New release: idtracker.ai v3

Check What’s new in idtracker.ai v3 and join the idtracker.ai users group to get announcements about new releases.

Start using idtracker.ai

Check the Installation and requirements to find the best installation mode for your usage case.

Follow the instructions in the Quickstart to track the example video and get use to the idtracker.ai workflow.

If you are unsure whether idtracker.ai will work on your videos, check the Guidelines for good videos and the Gallery to see how our videos look like.

Source code

The source code can be found at the idtracker.ai Gitlab repository.

Check the code documentation Index for more information about different classes, functions and methods of idtracker.ai

Data

The data used in the idtracker.ai article can be found in the Data section of this web page.

Reference

When using information from this web page please reference

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] [bibtex] [arXiv]. (F.R.-F. and M.G.B. contributed equally to this work. Correspondence should be addressed to G.G.d.P: gonzalo.polavieja@neuro.fchampalimaud.org)

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