The definitive guide to artificial intelligence terminology for 2021.
Model ID: ec1a83811e0d4a60a2e8a958ed133bef
Model Name: popular-social-media-shots
Model Type: concept
Model Type ID: embedding-classifier
Owner: Clarifai
fitness
knolling
latte art
look down
makeup looks
manicure
mirror selfie
party
pets
selfie
sky
unboxing
workspace
The Social Media Shots Model is an "embedding-classifier" which means that you will need to insert the model into a workflow and feed it embeddings from an embedding model for it to work. We recommend that you start with the embeddings from our general model.
Learn more about making Mesh Workflow predictions in our API Guide.
The Social Media Shots model will return a list of concepts along with their probability scores that estimate how likely a given concept is represented in your input.
Gather valuable business insights from images, text and data using machine learning, natural language processing and computer vision.
Assign tags or categories to analyze text based on content. Build models for topic analysis, sentiment analysis, smart reply and more.
Identify unwanted content such as gore, drugs, explicit nudity or suggestive nudity.
Recognize over 11,000 different concepts including objects, themes, moods and more.
Create your own model and teach it with your own images and concepts.
Predict the age, gender or cultural appearances of faces.
Detect the location of faces with bounding boxes.
Analyze images and return probability scores on the likelihood that the media contains the face(s) of over 10,000 recognized celebrities.
Detect items of clothing or fashion-related items.
Analyze images and returns numerical vectors that represent each detected face in the image in a 1024-dimensional space.
Recognize more than 1,000 food items in images down to the ingredient level.
Identify the dominant colors present in your images in hex or W3C form.
Recognize textures and patterns in a two-dimensional image e.g., feathers, woodgrain, petrified wood, glacial ice and overarching descriptive concepts (veined, metallic).
Identify different levels of nudity in your visual data. Ideal for moderating and filtering offensive content from your platform.
Recognize specific features of residential, hotel, and travel-related properties.
Recognize over 400 concepts related to weddings including bride, groom, flowers and more.
Analyze images and returns numerical vectors that represent each detected face in the image in a 1024-dimensional space computed by our General model.
Explore our pre-built, ready-to-use image recognition models to suit your specific needs.
If you are encountering a technical or payment issue, the customer support team will be happy to assist you.
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