Machine Learning AI Prediction for Computer Vision

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www.clarifai.com
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About Us

Clarifai is accelerating the progress of humanity
with continually improving AI.

• Founded in 2013 by Matthew Zeiler, a foremost
  expert in machine learning, Clarifai has been a
  market leader since winning the top five places
  in image classification at the ImageNet 2013
  competition.
• Recognized by leading industry analysts for our
  award-winning platform, Clarifai offers an
  end-to-end solution for modeling unstructured
  data for the entire AI lifecycle. Our powerful
  image, video, and text recognition solutions are
  built on the most advanced machine learning
  platform and made easily accessible via API,
  device SDK, and on-premise, empowering businesses
  all over the world to build a new generation of
  intelligent applications.

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Machine Learning AI Prediction for Computer
Vision
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iction
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Classification
Categorize large quantities of the unstructured
image, video, and textual data faster than has
ever been possible before. Classify objects,
faces, people, sentiment, and more with
state-of-the- art AI. Leverage a suite of
pre-trained models or train a custom
classification model to suit your needs.
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Detection
Locate people, places, and objects within your
images and videos. Detection takes our
Classification technology a step further by
identifying the exact placement within a scene.
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Customized classification
Solve your unique business problem with custom
models. Simply provide some example training
data and label the objects or people you want to
recognize. Youll have an AI model that can
predict exactly what you want in seconds.
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Facial recognition
Recognize who is in your images and videos and
predict specific known identities. Get started
in minutes using our advanced pre-trained facial
recognition models.
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Embedding vectors
Power custom predictions with embeddings from
existing models. Train on top of existing
embeddings and transfer learning from one model
to a new custom model.
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Model operators
Creatively network, route, and connect machine
learning models with model operators. Examples
include random sampling to filter down data
stream, image cropping to select a region from
an image, and concept thresholding.
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Multilingual classification
Predictions can be made in over 23 different
languages to support your global enterprise.
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CONTACT US

• Email id info_at_clarifai.comWebsite
  https//www.clarifai.com
• Facebook ID https//www.facebook.com/Clarifai