Synthetic Data for Computer Vision - Reinvent Systems

What is Synthetic Data?

Machine learning models need large amounts of data in order to train and identify patterns. Collecting this data can be challenging and time consuming, and trying to mimic a real world environment can be extremely difficult.

Synthetic Data can be a solution to this problem. Synthetic data is data that is created digitally using specialist software and programming techniques, which makes it possible to create both partially and fully synthetic datasets.

Image Generation

Generate image samples for A.I model training, by modifying existing images or generating synthetic images using GANs.

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Text Data

We can help collect suitable training data, using data mining, transformation and extraction from various data sources and represent them in the required format.

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Digitising Data

We can scrape data (images and text) from non-structured data sources and produce into an organised format.

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3D Data

We can help simulate real world spaces and objects by creating 3D models and environments, building the ground truth into the dataset.

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Simulation

Developing a simulator to perform controlled testing before taking it to the real world. This approach saves time and cost, and also eliminates any exposure to physical risk factors which would be present in a real world environment.

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Medical Imaging

Obtaining medical imaging data can be difficult due to privacy and data protection laws. Generating 2D/3D images can provide photo-realistic solutions and is used by many medical organisations and establishments.

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Choose An Engagement Model

Reinvent Systems offers multiple engagement models. We can extend your team on a part-time or full-time basis. Our engagement models have been designed to give you complete flexibility.