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Average Ratings 0 Ratings

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support 0 out of 5 stars

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Description

Alignerr is a specialized network and AI training-data platform offered by Labelbox, designed to link AI development teams with subject-matter experts for the generation of tailored training data and the assessment of model outcomes across various disciplines, including science, finance, law, medicine, engineering, coding, and language. This service facilitates the matching of experts based on their qualifications and domain knowledge, along with the evaluation and calibration of contributors, while providing organized data essential for model training, reinforcement learning, and evaluation processes. Contributors can seek remote project opportunities via Alignerr, undergo specific identity and role assessments, and manage contracts and payments through its dedicated application. By providing a streamlined approach to connecting experts with AI labs, Alignerr aims to enhance the quality of human feedback, reasoning, annotation, and evaluation data necessary for insightful AI development. The platform not only fosters collaboration but also ensures that AI teams receive the expert assistance they require for their specialized projects.

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 No 

API Access

Has API No 

Screenshots View All

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Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

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

Customer Support

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

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Labelbox

Founded

2018

Country

United States

Website

labelbox.com/products/alignerr/

Vendor Details

Company Name

Scale AI

Founded

2016

Country

United States

Website

scale.com/data-engine

Product Features

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 

Alternatives

Alternatives

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