Inappropriate Image Detection

Around 1 out of 25 biomedical research papers contain inappropriately duplicated images, a giant survey suggests. This calls for more rigorous inspection of images in manuscripts by authors, reviewers, and editors.

A large set of Western blot images were visually inspected by experts from 40 journals. The results show a negative correlation between journal impact factor and image duplication.

Image Moderation

Inappropriate images can be detrimental to a brand, tainting trust and potentially violating company policies. It’s important to identify and moderate these images before they are displayed to users to avoid negative impacts on user experience or brand image. Depending on your community tolerance for explicit nudity, gore, and violence, you may choose to filter or block these images outright or queue them for moderator approval.

Using an AI model to detect inappropriate images is an easy way to improve your UGC moderation process, but there are many factors that can cause the system to miss or incorrectly flag certain content. Detection models can be tripped up by things like famous, innocuous artwork or subject matter that is considered appropriate in one region but not another. For this reason, it’s best to use AI in tandem with human moderation to get the most accurate results and a more holistic experience for your users.

With Sightengine, a real-time image and video moderation solution, you can monitor user-uploaded images for any inappropriate subjects including nudity, violence, drug use, and NSFW content, as well as quality issues like blurriness or red eyes. The software uses machine learning to analyze and classify photos, and you can customize it to match your community’s level of tolerance by setting up specific keywords that must be present or absent to pass or fail.

Image moderation can also help protect your business by ensuring compliance with industry regulations, as well as providing your users with a safe and secure environment. It’s essential for businesses of all types and sizes, regardless of whether your website or mobile app involves UGC or not.


When you see NSFW on social media, in an email subject line or on a Discord channel, it means the content may be inappropriate for viewing at work or in front of children. It is often sexually explicit or contains expletives, and can also include curse words that would be bleeped out on network television.

Whether you are using the NSFW tag to warn your friends or colleagues of what is in an image, or you need to filter out images that are not safe for work, this identifier can be useful in keeping everyone safe and productive. However, a single person cannot monitor the entire Internet, especially if you are dealing with a large volume of user-generated content.

For this reason, if you are developing a web app that allows users to upload photos and videos, you should consider using an image moderation API to help you detect NSFW images. This type of service will scan each uploaded photo or video and flag any that are NSFW, as well as blur the content. This can protect your platform from offensive content, which can damage your reputation or, in the worst case, lead to legal action.

The Imagga NSFW categorizer is a cloud-based, instant and fully automated service that can process a large number of images at once, and automatically identify adult content or nudity. It uses state-of-the-art image recognition technologies to provide accurate and robust results. You can send a direct link or an upload from a form or Web app to the NSFW endpoint via GET or POST HTTP methods.

The Imagga NSFW endpoint is available on our pricing plans. If you are not yet a customer, you can try it out with our free demo account or sign up for a 30-day free trial of our image moderation API. The free trial allows you to use up to 10 images per month, and the premium versions allow for unlimited image uploads with no extra cost.

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