RAICRAIC Labs
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Related Products
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About
The training data platform for AI teams. A machine learning model is only as good as its training data. Labelbox is an end-to-end platform to create and manage high-quality training data all in one place, while supporting your production pipeline with powerful APIs. Powerful image labeling tool for image classification, object detection and segmentation. When every pixel matters, you need accurate and intuitive image segmentation tools. Customize the tools to support your specific use case, including instances, custom attributes and much more. Performant video labeling editor for cutting-edge computer vision. Label directly on the video up to 30 FPS with frame level. Additionally, Labelbox provides per frame label feature analytics enabling you to create better models faster. Creating training data for natural language intelligence has never been easier. Label text strings, conversations, paragraphs, and documents with fast & customizable classification.
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About
Build, train, and deploy models in minutes, not months, without human labeling.
Find Anything, Fast Provide a single example object image to begin the process. RAIC will find similar objects in an unlabeled dataset. The results are then contextually associated with the original starting image so that you can improve the AI by identifying the best results through an intuitive human nudge tool. Identify and Classify Categorize data based on whatever you need to detect — that might be one thing, or many different things. Once contextually associated, RAIC lets you easily group and identify items into categories that will help feed training. Quick Train or Deep Train RAIC then builds you a detection or classification model. You can decide between Quick Train - for time-critical use cases or rapid prototyping - or Deep Train, a traditional, high-accuracy model for when time is less of a constraint.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
AI teams
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Audience
Organizations that want to build, train, and deploy models in minutes, not months, without human labeling
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Not Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationLabelbox
Founded: 2018
United States
labelbox.com/product/platform
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Company InformationRAIC Labs
Founded: 2019
United States
raiclabs.com
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Alternatives |
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Categories |
Categories |
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Data Labeling Features
Human-in-the-loop
Supported
Labeling Automation
Supported
Labeling Quality
Supported
Performance Tracking
Supported
Polygon, Rectangle, Line, Point
Supported
SDK
Supported
Supports Audio Files
Not Supported
Task Management
Supported
Team Collaboration
Supported
Training Data Management
Supported
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Integrations
Cogito
Supported
Databricks
Supported
Diffgram Data Labeling
Supported
Innovatiana
Supported
Lightly
Supported
People For AI
Supported
Unremot
Supported
Visual Layer
Supported
Voxel51
Supported
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Integrations
Cogito
Not Supported
Databricks
Not Supported
Diffgram Data Labeling
Not Supported
Innovatiana
Not Supported
Lightly
Not Supported
People For AI
Not Supported
Unremot
Not Supported
Visual Layer
Not Supported
Voxel51
Not Supported
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