Amazon SageMaker Ground Truth

Amazon SageMaker Ground Truth

Amazon Web Services
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About

Amazon SageMaker allows you to identify raw data such as images, text files, and videos; add informative labels and generate labeled synthetic data to create high-quality training data sets for your machine learning (ML) models. SageMaker offers two options, Amazon SageMaker Ground Truth Plus and Amazon SageMaker Ground Truth, which give you the flexibility to use an expert workforce to create and manage data labeling workflows on your behalf or manage your own data labeling workflows. data labeling. If you want the flexibility to create and manage your own personal and data labeling workflows, you can use SageMaker Ground Truth. SageMaker Ground Truth is a data labeling service that makes data labeling easy and gives you the option of using human annotators via Amazon Mechanical Turk, third-party providers, or your own private staff.

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.

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

Organizations looking for a powerful Data Labeling solution

Audience

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

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

$0.08 per month
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

Amazon Web Services
Founded: 2006
United States
aws.amazon.com/es/sagemaker/data-labeling/

Company Information

Label Studio
United States
labelstud.io

Alternatives

Alternatives

Ango Hub

Ango Hub

iMerit
Vertex AI

Vertex AI

Google
Amazon SageMaker Ground Truth

Amazon SageMaker Ground Truth

Amazon Web Services

Categories

Categories

Integrations

Amazon SageMaker
ZenML
ApertureDB
Azure Blob Storage
Docker
Flair
Galileo AI
Google Cloud Storage
Hugging Face
Kubernetes
Lightly
Lightly
Modzy
PostgreSQL
Redis
SQLite
TensorFlow
Terraform
Tesseract
scikit-image

Integrations

Amazon SageMaker
ZenML
ApertureDB
Azure Blob Storage
Docker
Flair
Galileo AI
Google Cloud Storage
Hugging Face
Kubernetes
Lightly
Lightly
Modzy
PostgreSQL
Redis
SQLite
TensorFlow
Terraform
Tesseract
scikit-image
Claim Amazon SageMaker Ground Truth and update features and information
Claim Amazon SageMaker Ground Truth and update features and information
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Claim Label Studio and update features and information