Leading Visual Recognition AI Company Clarifai Launches Enhanced General Model As Company Continues Improving Platform

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Company Upgrades Suite of Models from Beta, Offering Up To 99% Accuracy

Clarifai, the leading visual recognition AI company that uses sophisticated machine learning to understand images and videos, today announced the launch of its all-new General Model. The enhanced General Model, which recognizes 11,000 concepts, including objects, themes, moods and more, will achieve record levels of performance by using a new training technique to improve accuracy, in addition to using a new neural network architecture that sits on Clarifai’s existing dataset.

With 80 percent of businesses investing in AI applications, companies need faster, more accurate image recognition services than ever before, and Clarifai’s all-new General Model automatically recognizes concepts with increased accuracy, benefitting developers, enterprises, and humanity. The enhanced General Model improves accuracy by using machine-labeled items for training instead of human-labeled images, correcting for human error. This new technique upgrades previous practices relying on human-labeled images, and makes the new General Model Clarifai’s smartest, most diverse, and most robust model to date.

“As artificial intelligence continues to permeate every industry and touchpoint in our lives, Clarifai is excited to break new ground as a technology powerhouse at the forefront of the AI revolution,” said Matt Zeiler, Clarifai founder, and CEO. “Thousands of businesses and developers rely on us to provide continually improving products and services, and together with our partners, we are affecting global change with our technology.”

In addition to the new General Model launch, Clarifai has upgraded several existing models from beta to general availability, including Moderation, Celebrity, Face Detection, Textures & Patterns, General Embedding, and Face Embedding. Many of these models now offer up to 99% accuracy on image and video recognition.

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