For Developers
Create Training Data. Focus on Building Models.
Generate annotated synthetic images through a web platform, without developing and maintaining your own rendering pipeline. Configure scenes, introduce visual variations and create datasets for your computer vision projects.
Control supported object positions, camera viewpoints, lighting and environments to explore the conditions relevant to your application. Annotations are generated alongside the images, reducing manual labelling and making it easier to iterate on your dataset.
Whether you are testing an idea or supplementing existing images, the platform helps you spend less time preparing data and more time developing and evaluating models.
For Enterprises
Make Synthetic Data Part of Your Infrastructure.
Move beyond one-off dataset projects. Our enterprise solution integrates synthetic data generation into your systems, enabling teams to produce training data as a repeatable, configurable part of AI development.
We work with you to align the solution with your inspection tasks, assets and operating conditions. This can include specialised components, material properties, defect variations and camera configurations, with deployment designed around your technical requirements.
Containerised software and API access allow generation to connect with existing applications and automated processes. As products and requirements change, your teams can adapt data generation rather than restart collection and annotation from scratch.
Vision Datasets
Start Evaluating Synthetic Data Today.
Explore ready-made synthetic datasets at VisionDatasets.com. These collections give developers, researchers and technical teams a starting point for model training, demonstrations and experimentation, without first configuring a generation project.
Review the objects, scenarios and annotations included in each collection to select data relevant to your task. Use it to explore an approach, test your training pipeline or assess where custom generation could add value.
Control What Your Models Learn From
Design for Variation, Not Just Volume.
More images are useful only when they add relevant information. Synthetic data lets you deliberately vary the visual conditions represented in a dataset, rather than depend entirely on the examples available through physical collection.
The developer platform provides configurable scenes and supported variations in objects, lighting, backgrounds and cameras. Enterprise solutions extend this approach to application-specific assets and inspection conditions. Vision Datasets offers predefined collections with documented contents.
This control helps teams investigate gaps in coverage and refine datasets around the demands of their application.
Create Examples That Are Hard to Capture
Represent Rare Defects Before Enough Examples Exist.
Industrial inspection projects often have abundant images of acceptable products but limited examples of faults. Collecting a representative range of defects can delay development, particularly when failures are rare or difficult to reproduce.
Our tailored enterprise solutions enable the generation of application-specific examples, such as missing components, scratches and stains. Variations in size, location, appearance and viewing conditions help teams explore more than a single idealized defect.
Synthetic examples can supplement real-world data and support targeted experimentation. Model performance must still be evaluated against representative real-world images to establish suitability for the intended application.
Fit Synthetic Data Into Your Workflow
Choose How You Access, Generate and Deploy.
Start with the level of integration your team needs.
The developer platform supports dataset downloads and direct transfer to Edge Impulse. Vision Datasets provides ready-made collections that can also be downloaded or uploaded to Edge Impulse.
For enterprises, API access and containerized deployment make generation available within existing software environments. Teams can incorporate it into automated pipelines and establish a recurring process for producing data as requirements evolve.
Let's Find the Right Solution
Use the developer platform to create your own datasets, explore Vision Datasets to begin with an existing collection, or talk to us about enterprise integration.
Reach out anytime. Let’s discuss your application, your data requirements and the right approach for your team.
