Nudity moderation involves identifying and flagging content that is considered inappropriate. Such content can include child sexual abuse, nudity and other forms of explicitness.
Human moderators are expected to review hundreds of images every shift. This is a difficult task that can lead to psychological trauma. This explains why companies should focus on metrics such as recall and precision.
NSFW Image Detection APIs
The right image moderation tool can help you create a safe and welcoming platform for your users. Inappropriate images can damage your reputation and drive away customers. Image moderation APIs use computer vision techniques to identify NSFW images and flag them for removal.
Imagga’s NSFW categorizer uses state-of-the-art image recognition technology to filter nudes and adult content from photos. It’s instant, can handle large volumes of requests, and is completely automated. Unlike human moderators, it is not biased and can detect nudity and sexual content even with small blurry areas of the body.
The API uses a pre-trained Caffe model to categorize images into three different groups: adult, racy, and gory. It also assigns a confidence score for each category. Then it returns a list of boolean properties-isAdultContent, isRacyContent, and isGoryContent-in a JSON response. This provides a detailed picture of what the image contains, which can be useful to understand why it is being flagged.
NSFW Video Detection APIs
Many social media platforms are plagued by inappropriate images, often uploaded by users. These images are not appropriate for everyone to see, and can cause embarrassment or even legal issues for the companies that host them. However, NSFW image detection APIs can help filter these types of photos and make them safe for all users.
These APIs can be used to scan for images that contain nudity, erotic content, and other inappropriate material. They also allow users to filter by gender, reducing the chance of false positives. They can be used on a variety of platforms, from social media sites to video hosting platforms.
Many websites and apps use an NSFW image detection API to prevent the upload of obscene images by their users. These APIs can detect NSFW images and return a score, which indicates the likelihood that the image is NSFW. These scores can be used to block or blur images. Alternatively, they can be used to flag images for review by human moderators.
NSFW Text Detection APIs
NSFW Text Detection is an advanced tool that analyzes and filters text content. Using neural networks, it identifies concepts such as pornography, nudity, and racy material. The API is available as a cloud API and on premises docker solution. It also offers a range of different models that can be selected based on the needs of your application.
Each model is trained to recognize a specific set of objects and returns a probability score for each one. Depending on the results, you can then make a decision about whether or not to allow the content.
If you run a social media platform, e-commerce website or other online community, you might be faced with the challenge of users uploading inappropriate images. While it’s impossible to control what everyone posts, you can implement an image moderation API that detects and flags NSFW images for review. The best NSFW Image Moderation APIs can recognize and flag explicit images in less than a second.
NSFW Audio Detection APIs
NSFW audio detection APIs help you filter images and videos by identifying and flagging audio that violates your community guidelines. This can include gore, drugs, explicit nudity or suggestive nudity. By integrating these APIs with chat collaboration channels, brands can ensure that all user-generated content is appropriate for their target audience.
You can find code templates that will enable you to integrate these visual moderation APIs into your Catalyst application in the SDK and API documentation sections. Once you’ve successfully integrated the SDK or API into your app, you can test your results using the Media Library web interface or programmatically using the Admin API.
You can override the default moderation confidence level on a per category basis by specifying a new value for the top-level categories (NSFW, violence, drugs, hate imagery and image attributes) as well as their child categories. For example, to override the Explicit Nudity category, you would set the corresponding moderation confidence value to 0.75.