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What is Scale Data Engine?

The Scale Data Engine equips machine learning teams with the necessary tools to effectively enhance their datasets. By unifying your data, verifying it against ground truth, and integrating model predictions, you can effectively tackle issues related to model performance and data quality. You can make the most of your labeling budget by identifying class imbalances, errors, and edge cases within your dataset through the Scale Data Engine. This platform has the potential to significantly boost model performance by pinpointing and addressing areas of failure. Implementing active learning and edge case mining allows for the efficient discovery and labeling of high-value data. By fostering collaboration among machine learning engineers, labelers, and data operations within a single platform, you can assemble the most impactful datasets. Furthermore, the platform offers straightforward visualization and exploration of your data, facilitating the rapid identification of edge cases that need attention. You have the ability to closely track your models' performance to ensure that you are consistently deploying the optimal version. The comprehensive overlays within our robust interface provide an all-encompassing view of your data, including metadata and aggregate statistics for deeper analysis. Additionally, Scale Data Engine supports the visualization of diverse formats such as images, videos, and lidar scenes, all enriched with pertinent labels, predictions, and metadata for a detailed comprehension of your datasets. This functionality not only streamlines your workflow but also makes Scale Data Engine an essential asset for any data-driven initiative. Ultimately, its capabilities foster a more efficient approach to managing and enhancing data quality across projects.

What is Dioptra?

Choose the most significant unlabeled data to improve domain representation and enhance model efficacy. Make sure your metadata is documented within Dioptra while maintaining complete oversight of your data. Investigate the fundamental reasons behind model failures and regressions using an extensive data-oriented toolkit. Employ our active learning miners to extract the most beneficial unlabeled datasets. Take advantage of Dioptra’s APIs for smooth integration with your labeling and retraining workflows. Methodically curate your data at scale, customized to fit your unique use case. We provide open-source solutions for data curation and management that are applicable across computer vision, NLP, and LLMs. Our assistance has empowered clients to boost model precision on complex cases, speed up training times, and reduce labeling costs, resulting in more streamlined workflows. This methodology not only simplifies the data management process but also promotes innovation in model creation, ultimately leading to breakthroughs in various applications. By focusing on efficient data utilization, you can unlock new opportunities for growth and advancement in your projects.

Media

Media

Integrations Supported

Slack

Integrations Supported

Slack

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$1,000 per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Scale AI

Date Founded

2016

Company Location

United States

Company Website

scale.com/data-engine

Company Facts

Organization Name

Dioptra

Company Website

dioptra.ai/

Categories and Features

Data Labeling

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

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Categories and Features

Data Labeling

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

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