A beautiful embedding applied to defect detection
Read OriginalThis technical article details a data science approach to defect detection in images using the KolektorSDD2 dataset. The author creates a custom embedding by transforming images into a point cloud, applying PCA for dimensionality reduction, and using elementary regression methods. This simple technique achieves an Average Precision of 0.83, outperforming a more complex segmentation network from the original paper, demonstrating an elegant solution to a weakly supervised learning task.
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