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Description

Utilizing only real data presents notable obstacles in the training of machine learning models. In contrast, synthetic data offers boundless opportunities for training, effectively mitigating the limitations associated with real datasets. Enhance the efficacy of your geospatial analytics by generating the specific imagery you require. With customizable options for satellite, drone, and aerial images, you can swiftly and iteratively create various scenarios, modify object ratios, and fine-tune imaging parameters. This flexibility allows for the generation of any infrequent objects or events. The resulting datasets are meticulously annotated, devoid of errors, and primed for effective training. The OneView simulation engine constructs 3D environments that serve as the foundation for synthetic aerial and satellite imagery, incorporating numerous randomization elements, filters, and variable parameters. These synthetic visuals can effectively substitute real data in the training of machine learning models for remote sensing applications, leading to enhanced interpretation outcomes, particularly in situations where data coverage is sparse or quality is subpar. With the ability to customize and iterate quickly, users can tailor their datasets to meet specific project needs, further optimizing the training process.

Description

Data serves as an essential asset for businesses today. By leveraging the right AI models, organizations can effectively construct and analyze customer profiles, identify emerging trends, and uncover new avenues for growth. However, developing precise and reliable AI models necessitates vast amounts of data, presenting challenges related to both the quality and quantity of the information collected. Furthermore, strict regulations such as GDPR impose limitations on the use of certain sensitive data, including customer information. This calls for a fresh perspective, particularly in software testing environments where obtaining high-quality test data proves difficult. Often, real customer data is utilized, which raises concerns about potential GDPR violations and the risk of incurring substantial fines. While it's anticipated that Artificial Intelligence (AI) could enhance business productivity by a minimum of 40%, many organizations face significant hurdles in implementing or fully harnessing AI capabilities due to these data-related obstacles. To address these issues, ADA employs cutting-edge deep learning techniques to generate synthetic data, providing a viable solution for organizations seeking to navigate the complexities of data utilization. This innovative approach not only mitigates compliance risks but also paves the way for more effective AI deployment.

API Access

Has API

API Access

Has API

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Screenshots View All

Integrations

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Integrations

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Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

OneView

Founded

2018

Country

Israel

Website

www.oneview.space/

Vendor Details

Company Name

Sogeti

Country

France

Website

www.sogeti.com/services/artificial-intelligence/artificial-data-amplifier/

Product Features

Product Features

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