Development of Google Chrome browser extension for blocking graphic content.
Keywords:
NSFW, TensorFlow, Google Chrome, browser extensions, framework, machine learning, images, raster images.
Abstract
The paper considers the main issues related to the process of developing a browser extension for blocking content on a certain basis. To block graphic content the NSFW.js library was used. NSFW.js uses the open software library for machine learning TensorFlow. Google Chrome browser extension for blocking content that fall into the 18+ category was developed t. HTML, CSS, JavaScript were used in the extension development.
References
Definition of NSFW [online]. – Available from: https://www.merriam-webster.com/dictionary/NSFW.
FamilyLink. Dopomozhit` dytyni osvoitys` u sviti tsyfrovyh tehnologiy [online] / Rezhym dostupu https://families.google.com/intl/ru/familylink/ .
Browser Market Share Worldwide [online]. - Available from: https://gs.statcounter.com/browser-market-share.
Chaudhary M. PHPStorm Cookbook / Mukund Chaudhary, Ankur Kumar. – Packt Publishing, 2014. – 254 p.
NSFWJS. Client-side indecent content checking [online]. – Available from: https://github.com/infinitered/nsfwjs/blob/master/README.md.
TensorFlow for JavaScript [online]. – Available from: https://www.tensorflow.org/js/tutorials.
tensorflow / tfjs-models. MobileNet [online]. – Available from: https://github.com/tensorflow/tfjs-models/tree/master/mobilenet.
Harmes R. Pro JavaScript Design Patterns / Dustin Diaz, Ross Harmes. – Apress, 2008. – 269 с.
FamilyLink. Dopomozhit` dytyni osvoitys` u sviti tsyfrovyh tehnologiy [online] / Rezhym dostupu https://families.google.com/intl/ru/familylink/ .
Browser Market Share Worldwide [online]. - Available from: https://gs.statcounter.com/browser-market-share.
Chaudhary M. PHPStorm Cookbook / Mukund Chaudhary, Ankur Kumar. – Packt Publishing, 2014. – 254 p.
NSFWJS. Client-side indecent content checking [online]. – Available from: https://github.com/infinitered/nsfwjs/blob/master/README.md.
TensorFlow for JavaScript [online]. – Available from: https://www.tensorflow.org/js/tutorials.
tensorflow / tfjs-models. MobileNet [online]. – Available from: https://github.com/tensorflow/tfjs-models/tree/master/mobilenet.
Harmes R. Pro JavaScript Design Patterns / Dustin Diaz, Ross Harmes. – Apress, 2008. – 269 с.
Abstract views: 0 PDF Downloads: 0
Published
2021-03-25
How to Cite
Beskostna К., HryshanovychТ., Hlynchuck, L., & Bulatetsky, V. (2021). Development of Google Chrome browser extension for blocking graphic content. COMPUTER-INTEGRATED TECHNOLOGIES: EDUCATION, SCIENCE, PRODUCTION, (42), 18-23. https://doi.org/10.36910/6775-2524-0560-2021-42-03
Section
Automation and Control