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Continuous Fine Tuning of Scrap Image Classification Algorithm
Convolutional Neural Network is a powerful algorithm for image classification. In Tenova, we developed a model to classify the category of scrap based on images.

To maintain high accuracy in the classification, it is necessary to retrain the algorithm on new pictures to account for changing factors.
In this webinar, we present the solution we implemented to continuously update the Scrap Classification algorithm to guarantee high accuracy over time.

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