Understand common challenges and value drivers of investing in an AI platform.
Act strategically, build high quality datasets, and reclaim valuable time to focus on innovation.
Clarifai named a leader.
Model ID: d02b4508df58432fbb84e800597b8959
Model Name: face
Model Type ID: visual-detector-embedder
Owner: Clarifai
Face
Yes
You can call the Predict API with the "Celebrity" model. Simply pass in a text input with a publicly accessible URL or by directly sending raw text, .csv or .tsv files.
Learn more about the Predict API.
API Guide
The Predict API returns probability scores on the likelihood that the media contains human faces. If human faces are detected, the model will also return the coordinate locations of those faces with a bounding box.
The returned ‘bounding_box’ values are the coordinates of the box outlining each face within the image. They are specified as float values between 0 and 1, relative to the image size; the top-left coordinate of the image is (0.0, 0.0), and the bottom-right of the image is (1.0, 1.0). If the original image size is (500 width, 333 height), then the box above corresponds to the box with top-left corner at (208 x, 83 y) and bottom-right corner at (175 x, 139 y). Note that if the image is rescaled (by the same amount in x and y), then box coordinates remain the same. To convert back to pixel values, multiply by the image size, width (for “left_col” and “right_col”) and height (for “top_row” and “bottom_row”).
Gather valuable business insights from images, text and data using machine learning, natural language processing and computer vision.
Detect toxic, obscene, racist, or threatening language, or your own custom moderation models.
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.
Analyze images and return probability scores on the likelihood that the media contains the face(s) of over 10,000 recognized celebrities.
Analyze images and returns numerical vectors that represent each detected face in the image in a 1024-dimensional space.
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.
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're encountering a technical or payment issue, the customer support team will be happy to assist you.
Contact support© 2021 Clarifai, Inc.
Terms of Use Content Takedown Privacy & Security Statement