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, an artificial intelligence startup, developed technology to analyze images and videos for offensive content such as nudity or adult material.
- The company used NVIDIA's CUDA, Tesla K80s, and cuDNN with the TensorFlow deep learning framework to train its models to identify safe content for social networking profile images.
- Sightengine's content moderation API can process millions of images daily with 99% accuracy, making it a viable tool for developers and businesses.
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