General Image Embedding Model For Deep Learning

General Image Embedding Model

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

1,000 free operations monthly.

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.

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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General Image Embedding Model

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

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

Request

Response

Text moderation

Text embedding

Image moderation

General

Custom

Demographics

Face detection

Celebrity

Apparel detection

Face embedding

Food

Color

Textures and patterns

Not safe for work

Travel

Wedding

General embedding

Model gallery

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.

Already a customer?

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