Labelling 2 Million Cell Samples

2017.

Technologies: Python, S3, AWS MechanicalTurk, opencv, pytorch

The customer needed to segment and label ultra high-resolution images of cell samples for different patients. I designed and programmed a system using Python, AWS S3, Mechanical Turk, and Neural Networks to segment, filter, and label 2 million samples.

Do you have an ambitious project? Email me and let us work together: inquire@automatedinnovations.com

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