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AI-generation and enrichment of datasets with sensitive personal data
Synthetic data
Know your customer
Generation
Identity identification process to confirm financial transactions
The ability to automatically create plausible objects
Security
Computer Vision
Training algorithms to recognize situations that can cause harm
The ability to recognize and analyze images and videos
Benefits of using AI-powered data
Learning by doing
Synthetic data can be used to train and train new employees in various fields, such as medicine, financial services, computer vision. This avoids the use of real data, which may be confidential or restricted
Privacy protection
Artificial Intelligence Research
In some cases, generative data can be used to replace real data and protect privacy. For example, in the medical field, synthetic data can be used for training and model development without disclosing the patient's personal data
Synthetic data can be used for research and development of various algorithms and models of artificial intelligence. This allows you to check the effectiveness and accuracy of models on controlled data
Datasets on demand
Images of ID
A dataset of generated US passports for training a neural network to identify a document, identify the necessary fields, distinguish between images and tests
For each image of the rights, augmentation is carried out on request:
- adding noise of different granularity
- blurring of borders
- tilts and turns
A csv or xml file is attached to each dataset upon request
Driver's licenses
A dataset of driver's licenses of people from different states of North America for face recognition and automation of security systems
For each image of rights, augmentation is performed based on synthetic data on request:
- adding noise of different granularity
- blurring of borders
- tilts and turns
- glare
- watermarks
Health insurance
Generated synthetic image data of insurance cards from different countries.
We collect examples of different types of medical documents and provide a dataset enriched with synthetic data for further training of neural networks
We collect examples of different types of medical documents and provide a dataset enriched with synthetic data for further training of neural networks
A csv or xml file is attached to each dataset upon request
Use cases
Classification for quick identification of document authenticity
OCR can automatically recognize and extract information from passports, such as first name, last name, date of birth, passport number and other relevant data, which will reduce time and reduce the risk of manual errors
The use of optical character recognition (OCR) to verify the authenticity of the passport and compare the information with the booking data
Optical character Recognition (OCR) to speed up the entry of personal data in online services and terminals
Internet of Things: Within the Internet of Things, generative data can be used to create and manage various devices and systems, such as smart homes, production automation, smart cities, etc.
Generative algorithms can be used for forecasting and analyzing financial markets, creating intelligent systems for making decisions in the economic sphere, etc.
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