Scale Data Engine Description
Scale Data Engine helps ML teams build better datasets. Bring together data, ground truth and model predictions for a quick fix to model failures and issues with data quality. Scale Data Engine can optimize your labeling costs by identifying errors, class imbalances, and edge cases within your data. Improve model performance by identifying and fixing model failures. Curate unlabeled data using active learning and edge case analysis to find and label high-value information. Curate the best datasets with ML engineers and labelers on the same platform. Visualize and explore your data easily to quickly identify edge cases that require labeling. Check the performance of your models and ship only the best. Our powerful UI allows you to view your data, aggregate statistics, and metadata with rich overlays. Scale Data Engine allows visualization of images, lidar scenes and videos. All associated labels, predictions and metadata are displayed overlaid.
Scale Data Engine Alternatives
Amazon SageMaker
Amazon SageMaker, a fully managed service, provides data scientists and developers with the ability to quickly build, train, deploy, and deploy machine-learning (ML) models. SageMaker takes the hard work out of each step in the machine learning process, making it easier to create high-quality models.
Traditional ML development can be complex, costly, and iterative. This is made worse by the lack of integrated tools to support the entire machine learning workflow. It is tedious and error-prone to combine tools and workflows. SageMaker solves the problem by combining all components needed for machine learning into a single toolset. This allows models to be produced faster and with less effort. Amazon SageMaker Studio is a web-based visual interface that allows you to perform all ML development tasks. SageMaker Studio allows you to have complete control over each step and gives you visibility.
Learn more
Zuru
Annotation solutions that are end to end, scalable and offer high accuracy & speed of turnaround. 2D/3D bounding box, polygons and polylines, landmarks & semantic segmentation to serve use cases from LiDAR to Geo-spatial imagery. Zuru's teams are working on complex computer vision algorithms that have edge cases and taxonomies. Text annotations are available in all major languages, including Bahasa, Cantonese and Hungarian. Experts in linguistic labelling who have annotated over 10 million data points across industries from Retail to BFSI and Healthcare. Zuru's team has done it all, whether it was sophisticated labelling for automation in customer centres, basic transcription or Audio diarization. Multilingual translators & interpreters workforce with a wide range of accents & dialects to help AI teams understand cultural nuances across languages and geographies.
Learn more
Dioptra
Curate the most valuable unlabeled datasets to maximize domain coverage and improve models. Register your metadata with Dioptra and your data will stay with you. A data-centric toolkit can help you identify the root cause of model failures and regressions. Active learning miners allow you to sample the most valuable unlabeled datasets. Use Dioptra APIs to integrate your labeling and training stack. Curate data at scale and systematically for your use case. Open source data curation and management for computer vision (including NLP), LLMs, and NLP. We helped our customers improve the accuracy of their models on hard cases, reduce their training cycles, as well as reduce labeling costs.
Learn more
Dataloop AI
Manage unstructured data to develop AI solutions in record time.
Enterprise-grade data platform with vision AI. Dataloop offers a single-stop-shop for building and deploying powerful data pipelines for computer vision, data labeling, automation of data operations, customizing production pipelines, and weaving in the human for data validation. Our vision is to make machine-learning-based systems affordable, scalable and accessible for everyone.
Explore and analyze large quantities of unstructured information from diverse sources. Use automated preprocessing to find similar data and identify the data you require. Curate, version, cleanse, and route data to where it's required to create exceptional AI apps.
Learn more
Pricing
Free Trial:
Yes
Integrations
No Integrations at this time
Company Details
Company:
Scale AI
Year Founded:
2016
Headquarters:
United States
Website:
scale.com/data-engine
Media
Recommended Products
Our Free Plans just got better! | Auth0 by Okta
You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your secuirty. Auth0 now, thank yourself later.
Product Details
Platforms
SaaS
Type of Training
Documentation
Live Online
Videos
Customer Support
Online
Scale Data Engine Features and Options
Scale Data Engine Lists
Scale Data Engine User Reviews
Write a Review- Previous
- Next