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Crime Detection Workflow Diagram Using YOLOv8

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Published on 2025-01-03
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This Crime Detection Workflow Diagram Template is designed to showcase the comprehensive process of identifying criminal activities using machine learning models like YOLOv8. Starting with a video dataset, it highlights key steps such as preprocessing, feature extraction, training the YOLOv8 model, and final crime detection. The results are then classified into "Crime" or "Not Crime," with further categorization into specific crime classes. Perfect for AI developers, data scientists, and researchers, this EdrawMax template is fully customizable to suit your project needs. Visualize your machine learning workflow effectively with this diagram.
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CrimeDetection
WorkflowDiagram
YOLOv8
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