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Clarifai

Transforms unstructured data into structured data using machine learning across computer vision, natural language processing, and automatic speech recognition.

Made by Clarifai

  • nlp-technology

  • deep-learning

  • data-labeling

  • active-learning

  • pattern-recognition

  • Educational

  • Machine Learning

  • chatterbot

  • computer-vision

  • Data Labeling for AI

  • visual-search

  • Artificial intelligence

What is Clarifai?

Clarifai is a leading computer vision platform that leverages machine learning and AI to model unstructured image, video, text, and audio data. The platform is utilized across diverse industries, including e-commerce, defense, retail, and manufacturing, to accelerate digital transformation through security and media exploitation, document analysis, content moderation, facial recognition, and more. Clarifai's technology is employed by developers, data science teams, and Fortune Global 2000 companies, and the company has partnered with the Department of Defense since 2017 to augment their artificial intelligence programs for national security Clarifai's platform is powered by state-of-the-art machine learning and offers the broadest repository of pre-trained, out-of-the-box AI models to search, sort, and organize visual, textual, and audio data, enabling companies to build turnkey AI solutions. The pre-trained models can detect explicit content, faces, embedded objects and text within images, as well as predict various attributes such as celebrities, food items, textures, colors, and more. An intuitive, feature-rich user interface makes the platform accessible to users of all skill levels. Clarifai also provides a free API to researchers and developers to help them build their own models and use AI to contribute to the greater good

Highlights

  • Computer vision, natural language processing, and automatic speech recognition capabilities
  • Comprehensive AI lifecycle support, including data preparation, model training and evaluation, and model ops
  • Ability to use out-of-the-box models, build custom models, or leverage open-source and 3rd party language models
  • Flexible deployment options, including cloud, on-premise, bare metal, or hybrid
  • Geolocation filtering for search results
  • Metadata keywords, data cleanup and labeling, image URL filtering, offline access, and automated tagging
  • Customizable face recognition module for customer identification and personalized services
  • Visual data analysis for insights into customer engagement, trending content, and competitor performance
  • Mobile integration via iOS and Android SDKs and API

Platforms

  • Mobile iPhone
  • Web
  • On-Premise Linux
  • On-Premise Windows
  • Desktop Linux
  • Desktop Windows
  • Online
  • Mobile iPad
  • Cloud, SaaS, Web-based
  • Web-based
  • Desktop Chromebook
  • Desktop Mac
  • Mobile Android

Languages

  • English
  • Arabic
  • Bengali
  • Danish
  • German
  • Finnish
  • French
  • Hindi
  • Italian
  • Japanese
  • Dutch
  • Norwegian
  • Punjabi
  • Polish
  • Portuguese
  • Russian
  • Spanish
  • Swedish
  • Chinese (Simplified)

Features

    • Chat Bot

    • Speech Recognition

    • Facial Recognition

    • Natural Language Processing