• General Image Embedding Model

    Analyze images and return numerical vectors that represent the input images in a 1024-dimensional space.

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Filter, index, rank and organize visually similar images with General Image Embedding Model.

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.

  • 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.
    Visit our 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.

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