5/16/2023 0 Comments Open source nsfw image cleaner![]() One thing to remember, though: coders will have to use their own smut data base. Such systems could also be deployed for email inspection, and anyone who has ever been pranked by friends sending cheeky photos in a work email knows what that means.ĭevelopers who want to give the algorithm a spin can download it from GitHub, and the Yahoo blog post offers additional details, should they need any. Other companies, such as Apple and Google are already working on their own image-sorting algorithms, some of which fit nicely as sorting tools in the mobile environment. Erotic imagery has a well-earned place on the internet, but it is just as important to cast it aside when tackling large data sets. The utility of polishing the image-recognition mechanism goes well beyond simple censorship and keeping things professional. The result is a system that filters a huge amount of images and scores each one on a scale from 0 to 1, 0 standing for immaculate, and 1 for things that make sailors blush. Wabbajack is a Free and Open-Source automated Modlist Installer. For NSFW imagery, the pattern is the same, possibly featuring less grills and more tail. Licentia is one of the premier NSFW Wabbajack modlists, featuring thousands of perks. For dogs, they detect tails and snouts, for cars, they identify wheels and grills. The idea is that the neural networks tap into a large database filled with very specific imagery, which helps its algorithms learn how to spot similar ones. Neural networks are an ideal tool for classifying images, as proven by both standard and medical visualization research in the past years. Until Yahoo deployed its algorithm, machines had a rough time telling apart nude painting from pornographic imagery, but thanks to the tech company's contribution, they are now able to showcase Renaissance art without batting an eye. Humans can easily do it, but their viewpoint and sensitivities are hard to embed in a line of code. Fact is, telling NSFW from an innocent image is a truly daunting task, at least when it comes to programming a software to do it properly. This project follows the all-contributors specification.It should be mentioned that Yahoo's algorithm is only part of the solution. Thanks goes to these wonderful people ( emoji key): ![]() Please check the Contributing Guidelines before contributing. Voila! The extension is now installed and ready to be used! Contribute Or open Google Chrome and open the Extension Management page by navigating to chrome://extensions or by opening Settings and clicking Extensions from the bottom left.Įnable Developer Mode by clicking the toggle switch next to Developer mode.Ĭlick the "Load Unpacked" button and select the extension directory(. To run development version in clean environment use command: npm run dev:chrome To just use the extension download from /webstore/nsfw-filter. To install the developer version follow the steps below. Open the popup window to change NSFW Filter settings.Ĭlone this repository and navigate inside the project folder and install the dependencies by running: npm ciĪfter installing the dependencies, build the project by executing: npm run build You can toggle(off/on) the extension from the chrome://extensions page in Chrome. When a page is loaded, the extension would hide all the images in the page and only show images that have been classified as NOT NSFW. Table of contentsĪfter adding the extension to your browser, it will light-up every time you load a compatible website. Storing settings - reduxed-chrome-storage Model used - nsfwjs developed by Infinite Red, Inc. Read about the release in Hacker Noon or in Towards Data Science. We are working on porting this to Safari also (we need help!). It is free and is currently supported on Google Chrome and is featured on the Chrome Webstore. If they are found to be NSFW, they remain hidden. However, you can try using a 3rd party API to detect nsfw content in an image and filter based on the results. When a web page is loaded, all the images remain hidden until they are found to be NSFW or not. 1 Answer Sorted by: 0 There is no way to automatically scan and filter for nsfw content with the Imgur API alone. We were thus able to pull images directly from subReddits, allowing for a high degree of specificity (subReddits are often very specific) while also grabbing high quality images. No user data is being sent to a server for processing. We found that Imgur provides an open API with relaxed quotas and very specific filtering. All the operations on the images are done locally on the browser. This extension does NOT collect/send any user data. A browser extension that blocks NSFW images from the web pages that you load using TensorFlowJS.
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