A machine-learning-driven data labeling pipeline for scientific analysis in MLExchange

Chavez, T.; Zhao, Z.; Jiang, R.; Koepp, W.; McReynolds, D.; Zwart, P.H.; Allan, D.B.; Gann, E.H.; Schwarz, N.; Ushizima, D.; Barnard, E.S.; Mehta, A.; Sankaranarayanan, S.; Hexemer, A.

doi:10.1107/S1600576725002328

Journal of Applied Crystallography Journal of Applied
Crystallography

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Figure 1
Software architecture diagram of the labeling pipeline, which consists of three front-end applications, Label Maker, Data Clinic and MLCoach, that are supported by four back-end services, Tiled, MLExContent, MLExCompute and Splash ML.

JOURNAL OF
APPLIED
CRYSTALLOGRAPHY

ISSN: 1600-5767

Volume 58| Part 3| June 2025| Pages 731-745

https://doi.org/10.1107/S1600576725002328

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