How To: NSFW Image detection on Digital Ocean Apps

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • nsfw_model

    Keras model of NSFW detector

    Making predictions based on images involves two basic steps: training the data and then processing the prediction. How to train the ML model can be found in the Github repo: GantMan/nsfw_model.

  • NSFW-FLASK

    Flask app for detecting NSFW images

    The resized image is categorized using the attached model. This provides a float score for each of the categories: drawings, hentai, neutral, porn, and sexy. The higher the score, the more likely the image is in this category.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  • nsfwjs

    NSFW detection on the client-side via TensorFlow.js

    You can play with a web host version of the model on nsfwjs.com since we use the same model.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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