experiment

BlogCategoryTag2

Header

Footer

PreFooter

ProseBlock

Blog

Prose

NextImage

AnnouncementContextProvider

Screen

scale.com (Production)

lottie-react

plasmic-nav

react-scroll-parallax-global

plasmic-embed-css

plasmic-query

plasmic-basic-components

plasmic-tabs

plasmic-cms

react-chartjs-2

plasmic-strapi

react-slick

radix-ui

react-quill

Today, we are thrilled to announce the Early Access Availability of <a href="https://scale.com/synthetic" rel="noopener noreferrer" target="_blank">Scale Synthetic</a>, the most efficient way to enhance ML performance with data that complements real-world datasets. With Scale Synthetic, ML teams can combine the benefits of real-world data with diverse and realistic synthetic data to achieve desired data distributions. Real-world data remains indispensable to developing performant models. ML teams, however, have encountered several challenges with relying on real-world data alone. Data privacy issues can prevent collected data from being used, collected datasets also inherit the biases of conditions under which data was collected, and collecting enough examples of edge cases and rare scenarios can be both costly and time-consuming. With Scale Synthetic, ML teams can: <ol><li> </li><li>Overcome the challenges of real-world datasets while maximizing the return on investment (ROI) of real-world data by realistically augmenting real-world data or generating fully synthetic data from scratch.</li><li> </li><li> </li><li>Bridge the sim-to-real reality gap by leveraging Scale’s global, human-in-the-loop network that ensures objects in augmented or fully synthetic scenes are realistically placed, and follow a logical path.</li><li> </li><li> </li><li>Seamlessly integrate with Scale’s full ecosystem of products for near-zero friction to add augmented or fully synthetic data into existing ML data pipelines. </li><li> </li></ol>Scale Synthetic currently supports the augmentation or generation of image, video, or 3D point cloud data but custom requests are also encouraged. To date, Scale Synthetic is trusted by leading ML teams such as Kodiak Robotics as well as the U.S. Department of Defense to deliver high-quality synthetic data. Additionally, Scale Synthetic has been recognized in the 2022 Gartner® Innovation Insight for Synthetic Data* report as a Representative Provider in Sample Synthetic Data. <img src="https://imagedelivery.net/wLbZE4_NzVVdgHc15St55g/13cf537b-0b89-4b55-885f-069505c8c900/public" alt="Kodiak Robotics Quote">To continue to enhance and build on the foundations of Scale Synthetic, we are also pleased to welcome Joel Kronander as the new Head of Synthetic Data and Vivek Raju Muppalla as the Director of Synthetic Services. Joel joins Scale from Nines, a startup that applied ML and AI expertise to the field of medicine where he served as the Head of Machine Learning. Vivek joins Scale from Unity Technologies, where he was the Director of Engineering, AI and Simulation.<img src="https://imagedelivery.net/wLbZE4_NzVVdgHc15St55g/9281bfec-9ad9-49d8-d658-c16381bb0c00/public" alt="Joel Kronander and Vivek Muppalla Quotes">If you would like to get early access for Scale Synthetic, <a href="https://scale.com/synthetic" rel="noopener noreferrer" target="_blank">contact us today</a>. *Gartner, “Innovation Insight for Synthetic Data”, Arun Chandrasekaran, Alexander Linden, Anthony Mullen, Farhan Choudhary, February 7, 2022. Disclaimer- GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

Scale Synthetic is the most efficient way to enhance ML performance with synthetic data that complements real-world datasets.

Complementing Real-World Datasets with Diverse and Realistic Synthetic Data

Introducing: Scale Synthetic - Now Available for Early Access 

URL redirections for Website. Disclaimer: takes 5~ min for each added or edited.

url-redirects

Use relative path. use `/blog/foo` not `https://scale.com/blog/foo`

blog-filter-type

homepage-quotes

logos

homepage-content

quotes

blog-category-model

announcement-banner

homepage-resources

homepage-event

custom-fonts

author

Event model for new marketing events page

event

Optional second image intended to show on the grid view, should be a more squared image closer to 1:1 aspect ratio than the one used in the Cover field.

guides

announcement-news

homepage-research

legal

slugs must be all lowercase. ie: ‘my-slug’

eval

datastream

customers

Display order on the page /customers. Higher values show first

summit-2023-speakers

event-model

Toggle if the event is featured. Featured events will be moved to the top of the list

basecamp-agenda

basecamp-speakers

Example: https://www.twitter.com/username

Example: https://www.linekin.com/in/username

summit-2023-agenda

summit-2023-partners

enterprise-use-cases-categories

enterprise-use-cases-categories-items

partners

data-samples

research

leaderboards

blog-model

Option to list or not list this post in the Blog index. Enabled = not list in the index, Disabled = list in the index

enterprise-use-cases

Use only one image or video option. Add another item to add another source.