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Description

Amazon SageMaker enables the identification of various types of unprocessed data, including images, text documents, and videos, while also allowing for the addition of meaningful labels and the generation of synthetic data to develop high-quality training datasets for machine learning applications. The platform provides two distinct options, namely Amazon SageMaker Ground Truth Plus and Amazon SageMaker Ground Truth, which grant users the capability to either leverage a professional workforce to oversee and execute data labeling workflows or independently manage their own labeling processes. For those seeking greater autonomy in crafting and handling their personal data labeling workflows, SageMaker Ground Truth serves as an effective solution. This service simplifies the data labeling process and offers flexibility by enabling the use of human annotators through Amazon Mechanical Turk, external vendors, or even your own in-house team, thereby accommodating various project needs and preferences. Ultimately, SageMaker's comprehensive approach to data annotation helps streamline the development of machine learning models, making it an invaluable tool for data scientists and organizations alike.

Description

One tool can manage your entire data labeling workflow. We invite you to discover the best way to manage your labeling staff, improve data quality, work 70% faster, and get organized!

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon SageMaker Yes 
Amazon Comprehend No 
Amazon EKS No 
Amazon ElastiCache No 
Amazon MQ No 
Amazon RDS No 
Amazon S3 No 
Amazon SES No 
Amazon SageMaker Unified Studio Yes 
Azure Blob Storage No 
Docker No 
Gemini Enterprise Agent Platform No 
Google Cloud Platform No 
Kubernetes No 
MariaDB No 
MySQL No 
Okta No 
Redis No 
ZenML Yes 
spaCy No 

Integrations

Amazon SageMaker Yes 
Amazon Comprehend Yes 
Amazon EKS Yes 
Amazon ElastiCache Yes 
Amazon MQ Yes 
Amazon RDS Yes 
Amazon S3 Yes 
Amazon SES Yes 
Amazon SageMaker Unified Studio No 
Azure Blob Storage Yes 
Docker Yes 
Gemini Enterprise Agent Platform Yes 
Google Cloud Platform Yes 
Kubernetes Yes 
MariaDB Yes 
MySQL Yes 
Okta Yes 
Redis Yes 
ZenML No 
spaCy Yes 

Pricing Details

$0.08 per month
Free Trial No 
Free Version No 

Pricing Details

$349/month
NLP Labeling:
1. Free: 3-day full-feature free trial
2. Starter: $5000 per year
3. Growth: 24000 per year
4. Enterprise: customized based on needs

LLM Labs
1. Pay As You Go: usage-based credit
2. Subscription: $500 per month

For more details, please visit.
datasaur[dot]ai/pricing
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Amazon Web Services

Founded

2006

Country

United States

Website

aws.amazon.com/es/sagemaker/data-labeling/

Vendor Details

Company Name

Datasaur

Founded

2019

Country

United States

Website

datasaur.ai

Product Features

Data Labeling

Human-in-the-loop No 
Labeling Automation No 
Labeling Quality No 
Performance Tracking No 
Polygon, Rectangle, Line, Point No 
SDK No 
Supports Audio Files No 
Task Management No 
Team Collaboration No 
Training Data Management No 

Product Features

Data Labeling

Human-in-the-loop Yes 
Labeling Automation Yes 
Labeling Quality Yes 
Performance Tracking Yes 
Polygon, Rectangle, Line, Point Yes 
SDK Yes 
Supports Audio Files Yes 
Task Management Yes 
Team Collaboration Yes 
Training Data Management Yes 

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