A Comparative Study of Three Pre-trained Convolutional Neural Networks in the Detection of Violence Against Women

被引：0

作者：

Aguilar, Ivan Gaytan ^{[1
]}

Contreras, Alejandro Aguilar ^{[1
]}

Eleuterio, Roberto Alejo ^{[1
]}

Lara, Erendira Rendon ^{[1
]}

Pina, Grisel Miranda ^{[1
]}

Gutierrez, Everardo E. Granda ^{[2
]}

机构：

[1] Tecnol Nacl Mexico, Campus Toluca, Metepec, Mexico

[2] Univ Autonoma Estado Mexico, Toluca De Lerdo, Mexico

来源：

CIENCIA ERGO-SUM | 2023年 / 31卷 / 02期

关键词：

artificial intelligence; deep learning; violence against women; transfer learning; CNN; VGG16; ResNet50; Mobile Net; IMPACT;

D O I：

暂无

中图分类号：

C [社会科学总论];

学科分类号：

03 ; 0303 ;

摘要：

This paper presents a performance comparison between 3 models of pre-trained CNN networks (VGG16, ResNet50, and MobileNet) in detecting physical violence against women in video. To carry out the classification of images that include physical violence against women and those that do not, 2800 images (1400 violent and 1400 non-violent) were collected from a public dataset and subsequently divided into training (1200 images), validation (1000 images) and test (600 images). To evaluate their performance, accuracy values for each model were considered, positioning the MobileNet network as the best-performing classifier for this classification task with 89% accuracy.

引用

页数：1

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