Data can be downloaded from this link.
- Lossless compressed videos. Raw videos are available upon request from the corresponding author.
- A library of single-individual images of zebrafish to test identification methods.
- Two example videos, one of 8 adult zebrafish and another of 100 juvenile zebrafish, are also included as part of the Quickstart user guide.
- Minimal processed data to reproduce all figures and tables.
- All tracking results for different species, group sizes, and image quality conditions.
- Results from tests with the library of single-individual images.
- Trajectories of juvenile zebrafish obtained and used in [1, 2].
 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: email@example.com)
 Heras, F. J., Romero-Ferrero, F., Hinz, R. C., & de Polavieja, G. G. (2019). Deep attention networks reveal the rules of collective motion in zebrafish. PLoS computational biology, 15(9), e1007354. [bibtex] [bioRxiv] [gitlab] [data].