A pretrained, general purpose microscopy identity tracking model. Trained on diverse data across scales, from cells to organelles.
Expects videos with accompanying detection labels in .slp or CellTrackingChallenge format.
To track identities of instances in microscopy timelapses. Maintains consistent identities across time.
~100k frames of proofread identity tracked public data. See
https://dreem.sleap.ai/latest/datasetsSee
configuration files provided in model directory
