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Improving Strand Clustering Accuracy in Computer Vision

The author is struggling to accurately cluster strands in computer vision application outputs, currently achieving 70% accuracy with an XGBoost classification model. The goal is to improve accuracy to better match the target values. There are at most 8 groups with a maximum of 3 strands each.

Computing & Technology, Computer Science, Machine Learning