Image and Video CSAM Detection API

Overview

Hive has partnered with Thorn to offer our proprietary CSAM detection API, which uses embeddings to detect novel child sexual abuse material (CSAM) content. This classifier differs from our other collaboration with Thorn—the CSAM matching API—which only covers known CSAM content. Both images and videos are accepted inputs.

The classifier works by first creating embeddings of the media. An embedding is a list of computer-generated scores between 0 and 1. After we create the embeddings, we permanently delete all of the original media. Then, we use the classifier to classify the content as CSAM or not based on the embeddings. This process ensures that we do not store any CSAM.

Response

The classifier returns a score between 0 and 1 that predicts whether a video or image is CSAM.

To see an annotated example of an API response object for this model, you can visit our API Reference.

Supported File Types

Image Formats:

jpg
png

Video Formats:

mp4
mov