Title: Hand-Gun Detection in Images with Transfer Learning-Based Convolutional Neural Networks
Abstract:This study aims to evaluate the performance of different deep learning methods based on CNN (Convolutional Neural Networks) for hand-gun detection from images. Within the context of object detection, ...This study aims to evaluate the performance of different deep learning methods based on CNN (Convolutional Neural Networks) for hand-gun detection from images. Within the context of object detection, which is an application of CNN, this study further focusses on hand-gun detection from images. The application of a CNN trained from scratch, transfer learning method using VGG-16 (Visual Geometry Group) model and fine-tuning based on the same model are applied on the same image dataset and the results are evaluated using various evaluation metrics. The results on 8300 images with and without a hand-gun showed that the highest accuracies are obtained with fine tuning method. Besides, it has been observed that the CNN model obtained with fine-tuning method gave balanced accuracies on the images containing and not containing hand-gun.Read More
Publication Year: 2020
Publication Date: 2020-10-05
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 5
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