We introduce four new 2D datasets in our paper: `bact_phase`, `bact_fluor`, `worm`, and `worm_high_res`. Code is available on our [GitHub][1] for downloading and processing what we call the `plant` dataset, which is a scaled subset of the 3D [PlantSeg OSF dataset][2]. The bact_phase dataset is the largest and most accurate in our paper and has been listed as BPCIS (bacterial phase contrast instance segmentation) on [Papers with Code][3]. We trained both Cellpose and Omnipose on these datasets and they are downlodable through Omnipose itself. They are called: `bact_phase_cp` `bact_fluor_cp` `plant_cp` `worm_cp` `cyto2_omni` `bact_phase_omni` `bact_fluor_omni` `plant_omni` `worm_omni` `worm_bact_omni`, and `worm_high_res_omni`. The [Brun lab][4] contributed unlabeled *C. crescentus* images for the `bact_phase` dataset. Luca Rappez contributed the labeled *C. elegans* images constituting the `worm_high_res` dataset. [1]: https://github.com/kevinjohncutler/omnipose [2]: https://osf.io/uzq3w/ [3]: https://paperswithcode.com/dataset/bpcis [4]: https://brunlab.com/