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AI in Manufacturing

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Computer Vision

Deep learning AI models that provide human-like interpretation of video, image, text, and audio data
Computer Vision Services
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The Forrester Wave™: Computer Vision Tools, Q1 2024: Download the report to learn why Clarifai is the Leader in Computer Vision.

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Unlock instant insights from unstructured data

Evaluate your visual and text data with greater accuracy and achieve faster time-to-value with Clarifai's award-winning computer vision technology. 
Image Recognition

Identify objects or people across a broad number of domains

Clarifai's suite of pre-trained models can identify tens of thousands of concepts across your media. Detect the presence of logos, apparel, people, vehicles, weapons, uniforms, and hate symbols, and use content moderation models to classify imagery as safe or unsafe. Or build your own custom models to solve your unique business use case.

Image recognition
Video content analysis
Video Content Analysis

Analyze video using deep learning

Apply image classification, detection, and segmentation models across video. Detect objects, vehicles, and people in videos, assign unique IDs to objects of interest, and track these across frames. Analyze content across various video sensor types, including RGB, EO/IR, Synthetic Aperture Radar, and WAMI.

Optical Character Recognition

Transform text images into data

Turn images of typed, handwritten, printed text, or text into machine-encoded text. Clarifai's Text Classification capabilities allow you to classify the information in a given field based on the content of that field. Network models together in a workflow graph and begin with one input type (images) and receive text as an output.

Optical Character Recognition
Image Labeling
Image Labeling

Automate data labeling

Scribe Label provides a comprehensive suite of image and video labeling tools. Label images quickly at varying levels of precision depending on use case requirements. Easily label entire images at once or image regions for Classification or Detection Models or use pixel-level precision for semantic segmentation.

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The Definitive Guide to AI-Automated Data Labeling: Improve your efficiency and accuracy of dataset labeling with AI-automation.
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