Abstract: Anomaly detection (AD) is typically regarded as an unsupervised learning task, where the training data either do not contain any anomalous samples or contain only a few unlabeled anomalous ...
Abstract: The purpose of multimodal industrial anomaly detection is to detect complex geometric shape defects such as subtle surface deformations and irregular contours that are difficult to detect in ...
This system provides an automated solution for blood cell detection and analysis using computer vision and machine learning techniques. The application features a web-based interface built with ...
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