Supervised Machine Learning using Convolutional Neural Networks
Location: Coralville, Iowa 52241, USA
Industry: Manufacturing, Life Sciences, Medical
The client is a manufacturer of customized DNA Oligos. One step of the process in this manufacturing is to fill up different plates with DNA or RNA membranes. The issue was
Allied provided solution by:
Benefits / Results:
A front-end application was developed to train the images. A single image contained several different pieces of information which needed to be identified and isolated. The react application helped to standardize the process.
An API was developed which made inferences using the ONNX model, developed using Python and TensorFlow/Keras. Several front-end components were also developed inside Microsoft Blazor Server tool which were later refactored into react.
EfficieNet-B0 algorithm was used to train the image data. Batching was implemented due to the large size of the input dataset. Several models were trained and evaluated during this process of training.
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