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CNNs for Firearm Detection in Customs by roi.ho2706 is a document available to read on EtoBox.

What is CNNs for Firearm Detection in Customs about?

This study explores the implementation of Convolutional Neural Networks (CNNs) for detecting firearms in X-ray images from customs inspection and screening complexes. The CNN model, trained on a dataset of 150 annotated images, achieved 80% accuracy on validation data and 84% on training data, highlighting the potential of CNNs in enhancing customs control through automated image recognition. The research emphasizes the importance of diverse training data to improve model generalization across different obj

Author

roi.ho2706

Language

EN