#IMAGE TOOLS EXTENSION CHROME PORN VERIFICATION#
The Government is set to apply a new age verification regime for commercial porn sites at the end of 2018 to keep children safe online. Age verification on commercial porn sites Let your child know they can talk to you or a trusted adult if they come across anything that upsets them online. You can switch on Google SafeSearch and set YouTube safe mode to make sure they see age-appropriate results. These should include the search engines they use to find information. Agree ground rulesįind out the kind of things your child likes to do online and agree which websites and apps are the best for them to use. Talk to other parents and the schoolĪsk other parents and your child’s school what sort of rules they’re following and what they recommend. Explain to your child that age limits are there to help protect them from unsuitable content. Many sites have a minimum age limit of 13 – this includes websites like YouTube and Facebook. Explain age limits and age-inappropriate sites Try to have these conversations regularly. Help them understand that sometimes they may come across things that they’d prefer not to see, or that you would prefer they didn’t see. This project is based on the Tensorflow Image Recognition Chrome Extension, which allowed me to focus on the aspects of machine learning, image blocking, and URL reporting.As soon as your child starts to use the internet you should begin to talk about what they might find there. If the image is not publically available, we wil not have access to it. We do not store any personal data or the actual image itself. To do so, right click on the image and select "This shouldn't be blocked - send Image URL".Īll that we will receive is the URL of the image in question. If the image is classified incorrectly - say you are on a site where you know it is not porn, explicit, or racy, you have the option to report that image to help re-train the classifier so that these types of images are not detected as porn in the future. When an image is classified as porn, it will be replaced in the website as a red X. The images are then sent through the Mobile NSFW classifier using TensorflowJS. How it worksĪs you are browsing the web, the extension intercepts all image calls. The only way to know is to gather a dataset of the false positive images, which is what this chrome extension strives to do. I hypothesize that there are significant other types of images that result in false positives. A reasonable observer can surmise why that's the case. For instance, the NSFW Mobile classifier currently classifies some images of rockets and bananas as porn. The problem is that if the control images are not choosen well, the features could actually be too broad and classify images as porn that aren't even closely related. In the case of porn, the assumption would be that particular body parts would be the features that determine whether an image is porn or not. It is easy to scrape a website for porn images and train a classifier to correctly identify those images as porn, with a sample of control images used to make sure the classifier finds particular features in the images. This can be attributed to the datasets used for training. Nowadays best of breed porn detection is very good at correctly identifying porn, but also recognizes many images as false positives. Porn detection with computer vision is a difficult problem with varying levels of success.
This project is meant to help build a dataset of control images to use in machine learning for porn detection.
#IMAGE TOOLS EXTENSION CHROME PORN FREE#
Uses the free MobileNsfwNet neural network to detect racy and pornographic images. All images are scanned on your device and removed from the website if porn is detected.
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