• General Image Embedding

    Analyze images and return numerical vectors that represent the input images in a 1024-dimensional space. The vector representation is computed by using Clarifai’s ‘General’ model. The vectors of visually similar images will be close to each other in the 1024-dimensional space. The ‘General Embedding’ model can be used for filtering, indexing, ranking, and organizing images according to visual similarity.

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  • Request

    You can call the Predict API with the 'General Embedding' model. Simply pass in an image input with a publicly accessible URL or by directly sending image bytes.

    Learn more about the Predict API.
    API Guide

  • Response

    The Predict API returns ‘vector’ and ‘num_dimensions’. The ‘vector’ is a numerical vector that represents the input image in a 1024-dimensional space. The numerical values within the vectors are between 0 and 1, inclusive. The vectors of visually similar images will be close to each other in the 1024-dimensional space. The ‘num_dimensions’ for this model is set at 1024.

Endless possibilities with Computer Vision and AI

Gather valuable business insights from images, text and data using machine learning, natural language processing and computer vision.

  • Ready-to-use Models

  • Text moderation

    Detect toxic, obscene, racist, or threatening language, or your own custom moderation models.

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  • Text embedding

    Assign tags or categories to analyze text based on content. Build models for topic analysis, sentiment analysis, smart reply and more.

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  • Image moderation

    Identify unwanted content such as gore, drugs, explicit nudity or suggestive nudity.

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  • General

    Recognize over 11,000 different concepts including objects, themes, moods and more.

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  • Custom

    Create your own model and teach it with your own images and concepts.

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  • Demographics

    Predict the age, gender or cultural appearances of faces.

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  • Face detection

    Detect the location of faces with bounding boxes.

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  • Celebrity

    Analyze images and return probability scores on the likelihood that the media contains the face(s) of over 10,000 recognized celebrities.

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  • Apparel detection

    Detect items of clothing or fashion-related items.

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  • Face embedding

    Analyze images and returns numerical vectors that represent each detected face in the image in a 1024-dimensional space.

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  • Food

    Recognize more than 1,000 food items in images down to the ingredient level.

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  • Color

    Identify the dominant colors present in your images in hex or W3C form.

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  • Textures and patterns

    Recognize textures and patterns in a two-dimensional image e.g., feathers, woodgrain, petrified wood, glacial ice and overarching descriptive concepts (veined, metallic).

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  • Not safe for work

    Identify different levels of nudity in your visual data. Ideal for moderating and filtering offensive content from your platform.

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  • Travel

    Recognize specific features of residential, hotel, and travel-related properties.

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  • Wedding

    Recognize over 400 concepts related to weddings including bride, groom, flowers and more.

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  • General embedding

    Analyze images and returns numerical vectors that represent each detected face in the image in a 1024-dimensional space computed by our General model.

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  • Model gallery

    Explore our pre-built, ready-to-use image recognition models to suit your specific needs.

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  • Ready to get started?

    Whether you're a start-up or a Fortune 500, we'd like to discuss a personalized plan that fits your business use cases.

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    If you're encountering a technical or payment issue, the customer support team will be happy to assist you.

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