Artificial intelligence startup Sightengine developed image analysis technology to detect if images and videos contain offensive material, such as nudity, adult content or suggestive scenes.
Using CUDA, Tesla K80s and cuDNN with the TensorFlow deep learning framework, the startup trained their deep learning models to determine whether or not an image is safe content and if it is appropriate to use as a profile image for social networking sites – similar to how human moderators would.
Developers and businesses can use Sightengine’s content moderation API which achieves 99% accuracy, and is able to handle millions of images per day.
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AI-Generated Summary
- Sightengine developed image analysis technology to detect offensive material such as nudity, adult content, and suggestive scenes in images and videos.
- The startup trained deep learning models using CUDA, Tesla K80s, and cuDNN with the TensorFlow framework to determine whether images are safe for use as profile pictures on social networking sites.
- Developers and businesses can access Sightengine's content moderation API, which achieves 99% accuracy and handles millions of images per day.
Next Step
- Read the Gigaom article for more details on how AI helps detect and filter offensive images and videos.
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