Average Ratings 0 Ratings
Average Ratings 0 Ratings
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!
Description
Scale Data Engine empowers machine learning teams to enhance their datasets effectively. By consolidating your data, authenticating it with ground truth, and incorporating model predictions, you can seamlessly address model shortcomings and data quality challenges. Optimize your labeling budget by detecting class imbalances, errors, and edge cases within your dataset using the Scale Data Engine. This platform can lead to substantial improvements in model performance by identifying and resolving failures. Utilize active learning and edge case mining to discover and label high-value data efficiently. By collaborating with machine learning engineers, labelers, and data operations on a single platform, you can curate the most effective datasets. Moreover, the platform allows for easy visualization and exploration of your data, enabling quick identification of edge cases that require labeling. You can monitor your models' performance closely and ensure that you consistently deploy the best version. The rich overlays in our powerful interface provide a comprehensive view of your data, metadata, and aggregate statistics, allowing for insightful analysis. Additionally, Scale Data Engine facilitates visualization of various formats, including images, videos, and lidar scenes, all enhanced with relevant labels, predictions, and metadata for a thorough understanding of your datasets. This makes it an indispensable tool for any data-driven project.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Amazon Bedrock
Yes
Amazon Comprehend
Yes
Amazon EKS
Yes
Amazon ElastiCache
Yes
Amazon MQ
Yes
Amazon RDS
Yes
Amazon S3
Yes
Amazon SES
Yes
Amazon SageMaker
Yes
Amazon Textract
Yes
Integrations
Amazon Bedrock
No
Amazon Comprehend
No
Amazon EKS
No
Amazon ElastiCache
No
Amazon MQ
No
Amazon RDS
No
Amazon S3
No
Amazon SES
No
Amazon SageMaker
No
Amazon Textract
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
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
Pricing Details
No price information available.
Free Trial
Yes
Free Version
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
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Datasaur
Founded
2019
Country
United States
Website
datasaur.ai
Vendor Details
Company Name
Scale AI
Founded
2016
Country
United States
Website
scale.com/data-engine
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
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
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No