RAIC

RAIC

RAIC Labs
+
+

Related Products

  • Ango Hub
    15 Ratings
    Visit Website
  • Vertex AI
    944 Ratings
    Visit Website
  • LM-Kit.NET
    25 Ratings
    Visit Website
  • PackageX OCR Scanning
    46 Ratings
    Visit Website
  • Label LIVE
    176 Ratings
    Visit Website
  • Google AI Studio
    11 Ratings
    Visit Website
  • ND Wallet
    14 Ratings
    Visit Website
  • Quant
    86 Ratings
    Visit Website
  • Volumo
    21 Ratings
    Visit Website
  • DXcharts
    28 Ratings
    Visit Website

About

The most flexible data annotation tool. Quickly installable. Build custom UIs or use pre-built labeling templates. Configurable layouts and templates adapt to your dataset and workflow. Detect objects on images, boxes, polygons, circular, and key points supported. Partition the image into multiple segments. Use ML models to pre-label and optimize the process. Webhooks, Python SDK, and API allow you to authenticate, create projects, import tasks, manage model predictions, and more. Save time by using predictions to assist your labeling process with ML backend integration. Connect to cloud object storage and label data there directly with S3 and GCP. Prepare and manage your dataset in our Data Manager using advanced filters. Support multiple projects, use cases, and data types in one platform. Start typing in the config, and you can quickly preview the labeling interface. At the bottom of the page, you have live serialization updates of what Label Studio expects as an input.

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.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers searching for a solution to label every data type and build custom UIs for computer vision processes

Audience

Organizations that want to build, train, and deploy models in minutes, not months, without human labeling

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Label Studio
United States
labelstud.io

Company Information

RAIC Labs
Founded: 2019
United States
raiclabs.com

Alternatives

Ango Hub

Ango Hub

iMerit

Alternatives

Vertex AI

Vertex AI

Google
Amazon SageMaker Ground Truth

Amazon SageMaker Ground Truth

Amazon Web Services

Categories

Categories

Integrations

Amazon S3
Amazon SageMaker
Azure Blob Storage
Docker
Flair
Google Cloud Storage
Kubernetes
Lightly
Lightly
Modzy
Pachyderm
PostgreSQL
PyTorch
Redis
Rosepetal AI
TensorFlow
Terraform
Tesseract
ZenML
scikit-image

Integrations

Amazon S3
Amazon SageMaker
Azure Blob Storage
Docker
Flair
Google Cloud Storage
Kubernetes
Lightly
Lightly
Modzy
Pachyderm
PostgreSQL
PyTorch
Redis
Rosepetal AI
TensorFlow
Terraform
Tesseract
ZenML
scikit-image
Claim Label Studio and update features and information
Claim Label Studio and update features and information
Claim RAIC and update features and information
Claim RAIC and update features and information