Start by uploading a batch of images, videos, or documents, then let Clarifai turn them into searchable signals you can actually use. A common workflow is to run built-in detectors first—objects, scenes, faces, landmarks, and on-image text—so your media library becomes filterable by what appears in it. Teams use this to quickly find “all images with vehicles,” “clips shot at a specific monument,” or “frames containing unsafe content,” without manually reviewing every file.
When off-the-shelf labels aren’t enough, you can build a tailored model around your own categories. Collect examples, apply labels (in-house or by assigning the task to a labeling team), train, and then review results on new content. This is useful for product catalogs, manufacturing inspection photos, or compliance checks where your definitions are specific. You can iterate by adding misclassified samples back into the training set and retraining until accuracy is stable.
For video-heavy work, run analysis to locate moments that matter—people, places, or explicit material—and jump directly to those timestamps. If you work with spoken content, transcribe audio and combine it with language analysis to search conversations and summarize themes. This supports research workflows, customer support reviews, and monitoring tasks where you need to understand what happened in large volumes of footage. more
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Minimum Monthly Usage - $30 in Monthly Credits
Data Store
<ul>
<li>Applications - 2
Image Inputs
Videos Inputs
Text Inputs
Scribe Label
<ul>
<li>Concepts Per App - Unlimited
Labeled Concepts - Unlimited
Single Label Classification
Multi Label Classification
Bounding Boxes
Multi-point Polygons
Video Interpolation
Ai Assisted Labeling
Labeling Task Management
Task Assignment Rules
Optimized Task Review
Consensus Review
Spacetime Search
<ul>
<li>Search by Concept
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<li>Trained Models Per App - 5
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Roc Auc
Armada Predict
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<ul>
<li>Applications - 5
Image Inputs
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Scribe Label
<ul>
<li>Concepts Per App - Unlimited
Labeled Concepts - Unlimited
Single Label Classification
Multi Label Classification
Bounding Boxes
Multi-point Polygons
Video Interpolation
Ai Assisted Labeling
Labeling Task Management
Task Assignment Rules
Optimized Task Review
Consensus Review
Spacetime Search
<ul>
<li>Search by Concept
Search by Image
Search by Metadata
Search by Geo-location
Mesh Workflow
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<li>Trained Models Per App - 20
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<li>Model Versions Per Model - 40
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Roc Auc
Armada Predict
<ul>
<li>Clarifai Pre-built Model Predictions
Custom Model Serving
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<li>Collaborators - 5
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<li>Portal and Api Documentation
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<li>Applications - Unlimited
Image Inputs
Videos Inputs
Text Inputs
Data Collectors
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Scribe Label
<ul>
<li>Concepts Per App - Unlimited
Labeled Concepts - Unlimited
Single Label Classification
Multi Label Classification
Bounding Boxes
Multi-point Polygons
Video Interpolation
Ai Assisted Labeling
Labeling Task Management
Task Assignment Rules
Optimized Task Review
Consensus Review
Spacetime Search
<ul>
<li>Search by Concept
Search by Image
Search by Metadata
Search by Geo-location
Mesh Workflow
<ul>
<li>Trained Models Per App - Contact
Custom Workflows - Unlimited
Models in Workflow Graph - Unlimited
Image Classification Models
Image Detection Models
Text Classification Models
Image Cropper
Concept Thresholder
Random Sampler
Annotation Writer
Enlight Train
<ul>
<li>Model Versions Per Model - Contact
Custom Model Training
Deep Training
Model Evaluation
Evaluation Summaries
K-split Confusion Matrices
Roc Auc
Armada Predict
<ul>
<li>Clarifai Pre-built Model Predictions
Custom Model Serving
Shared Inference Servers
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<li>Collaborators - Contact
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