The 3D Generative AI Synthetic Data Cloud enables accurate Vision AI solutions and brings data to the organizations and Computer Vision applications most critical to their business. The Synthetic Data Cloud enables a wide range of possibilities, from multimodal data generation to collaborating over AI models training, and even integrating external data and applications for fresh insights.
The number of human-related applications of computer vision and AI is growing by the day.
Zero-shot learning (ZSL) is a machine learning technique that enables a model to categorise items from previously unseen classes without getting any explicit training for those classes.
Assume you have an issue you want to tackle with computer vision but just a few images to base your new model on. What are your options?
SKY ENGINE AI’s platform eliminates redundant real data needs and simplifies Vision AI models training with edge cases covered well, so organisations can get more value from their AI solutions. The blueprints available as an integrated part of the platform, are design as an industry specific modules with automations, that reduce complexity and help ensure everything “just works”.
To support a wide range of edge cases, it’s optimised for performance at scale with multimodality support no matter whether you are working with VIS, NIR, or other sensors. And here the organisations can securely develop and generate Vision AI content for AI models training and validation across clouds and regions, with one consistent experience.
Bringsmultispectral, physically-based ray tracing, optimised for latest GPU architectures automatingany annotation types with multimodality support for broad range of sensorsat near-infinite scale
Post processes GAN-based materials and images with domain adaptation of rendered images and analysis of the domain gap between real and synthetic data
Provides seamless code editing environment for Data Scientists including garden of deep neural network models with render data sources for Computer Vision.
SKY ENGINE AI system generates data, and scene definition, models, and training plans are uploaded to the computing nodes with full flexibility to manage required cloud resources for data synthesis.
Instead of real data acquisition for training the AI models foredge cases, switch to synthetic data to get value with diverse and well-balanced training data while preserving privacyand fuel powerful insights, quickly.
Try SKY ENGINE AI and experience the Synthetic Data Cloud for Vision AI that helps eliminate the complexity, cost and constraints inherent with other solutions.
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