How ‘real’ are our synthetic images compared to captured images?

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Data Generation
Synthetic image data has come a long way in recent years, and at Synthetic Images, we pride ourselves on being a leader in this cutting-edge technology. Our team of experts uses advanced algorithms and generative AI to generate images that are virtually indistinguishable from captured images.
On this page, we’ve assembled a collection of captured vs. synthetic image comparisons that showcase the incredible level of visual realism that we’re able to achieve. Whether it’s the fine details of a surface texture or the play of light and shadow across a scene, you’ll see first-hand just how closely our synthetic images can match the look and feel of the real world.
To increase the realism on a pixel level, we use AI to transfer relevant details like camera characteristics of your images to the synthetic ones.

Application: Automated visual inspection

Use case: Surface defect detection on metal components.
Metal Shaft with defect.
Real vs Synthetic Images

Application:
Vision guided robotic handling

Use case: Part kitting at an assembly station.
Objects in a Bin.
Real vs Synthetic Images

Application: Automated visual inspection

Use case: Damage detection on pre-cast concrete blocks / bridges.
Concrete with Defects
Real vs Synthetic Images

Additional Resources

Explore Key Concepts and Benefits of Synthetic Data and corresponding Annotations.

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What is Synthetic Data?

Learn about the fundamentals of synthetic data, its generation process, and its applications in various industries.

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Why Use Synthetic Data?

Understand the benefits of synthetic data, including enhanced model training, cost efficiency, and the ability to generate rare or hard-to-capture scenarios.

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Annotations

Explore the critical role of high-quality annotations in dataset preparation. Our synthetic image data comes fully annotated, as our generation process precisely tracks and identifies every element within each image, ensuring consistent and accurate labelling.

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3D Rendering

Our 3D rendering process leverages advanced computer graphics techniques to create highly realistic and detailed synthetic images. This approach allows us to simulate a wide range of scenarios and environments.

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Generative Approaches

Our generative data creation techniques use advanced AI models to enhance realism and add details to the 3D rendered synthetic image.
Contact us

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