Synthetic Data Generator Algorithm

A component of Multiplatform Data Acquisition, Collection, and Analytics (MDACA), the Synthetic Data Engine (SDE) creates structurally and statistically similar synthetic data from sensitive, real datasets. MDACA SDE provides strong privacy guarantees while minimizing the complexities associated with understanding the processes for generating synthetic data in support of software development and testing, Machine Learning (ML) algorithms and modeling, and other initiatives while safeguarding corresponding real data. MDACA SDE supports software development to accelerate product release and time to market, utilizes a cost-effective storage approach, and bolsters ML modeling while preserving confidentiality of real data. SDE seamlessly accesses and creates intelligent synthetic data without compromising sensitive, real data. MDACA SDE protects PII and PHI data and provides meaningful data in support of AI/ML model development and application testing, minimizing data duplication.

A generative algorithm based solution to produce synthetic tabular data

Using EdgeInsight, you can achieve what no off-the-shelf computer vision product can. With EdgeInsight running the ML models, SoftServe additionally provides custom edge and cloud integrations, making the solution truly unique and vertically integrated with the rest of your technology stack. EdgeInsight comes with built-in ML models for common challenges in worker safety or site analytics. For cases that require a different approach, you can rely on SoftServe to integrate your existing algorithm, try out algorithms from Lookout for Vision, test widely available open-source models, or have a unique SageMaker model trained by our experts. Designed by CV specialists to solve challenges yet unknown, EdgeInsight features a future-proof modular architecture that decouples layers of processing from each other. You can use it as-is or change EdgeInsight to work with your unique video-streaming sources, leveraging existing hardware, or integrating with your edge and cloud solutions.

RarePlanes is a unique open-source machine learning dataset from CosmiQ Works and AI.Reverie that incorporates both real and synthetically generated satellite imagery. The RarePlanes dataset specifically focuses on the value of AI.Reverie synthetic data to aid computer vision algorithms in their ability to automatically detect aircraft and their attributes in satellite imagery. Although other synthetic/real combination datasets exist, RarePlanes is the largest openly-available very high resolution dataset built to test the value of synthetic data from an overhead perspective. The real portion of the dataset consists of 253 Maxar WorldView-3 satellite scenes spanning 112 locations and 2,142 km^2 with 14,700 hand-annotated aircraft. The accompanying synthetic dataset is generated via AI.Reverie’s novel simulation platform and features 50,000 synthetic satellite images with ~630,000 aircraft annotations.