Data For Understanding The World

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Simulated Data Solutions For Any Application

Building Visual AI systems that understand the world around them requires a lot of data – data that can be expensive to collect, hard to annotate, and prone to bias. We see teams working too hard to get data instead of getting data that works for them.

Simulated Data is the next generation of synthetic data, designed to supercharge Visual AI learning and development. By blending art and science to simulate the world around us in photo-realistic detail, DataGen is creating Simulated Data solutions that are scalable, bias-free, and automatically annotated.

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Human Simulation Solution

Smart Stores

In the future, frictionless, grab-and-go in-store experiences will be the way we shop. Overhead cameras will understand our shopping behavior and enable automatic check-out. Stores will use Visual AI systems to manage inventory, detect theft, and gather key retail analytics. DataGen offers a range of Simulated Data solutions to understand rich information, including people-product interactions, sight-lines, reactive emotions and human-to-human interaction. Our data is highly customizable and designed to minimize bias. We can even provide a transparent zero-bias report to make sure that your training data reflects the customers you want to serve.

Drones

Visual AI integrated with on-drone video will open up amazing new applications in a range of industries. Autonomous Deliveries, Sports Video Capture, Security and Military Capabilities. But, collecting enough data is a challenge in this evolving field. With a range of options and customizable parameters, DataGen’s Simulated Data for on-drone video makes building this Visual AI scalable, accessible, and the best solution for a robust system. And, DataGen’s highly customizable approach ensures that our data can meet the needs of any application you dream up.

VR/AR

Hands and Bodies

The VR world is the place of dreams. We can do anything, be anything, go anywhere. But, interacting with the virtual world is not yet as smooth as we want it to be. To fully experience the magic of Virtual Reality, we need systems that understand our bodies and link us seamlessly into this alternate universe. Building these systems demands huge amounts of video of hands and bodies, with deep metadata that interprets the 3D pose and mesh of our bodies directly from the video. DataGen’s Simulated Data for VR provides you with incredibly varied hand and body data, complete with all the metadata you need to help VR realize its full potential.

VR/AR

Eyes

Humans convey enormous amounts of complex, meaningful information through our eyes. But, building visual systems to truly understand our eyes requires highly varied datasets that include huge ranges of eye movement, eye anatomy, and other environmental parameters. DataGen offers hyper-realistic Simulated Data for teams seeking to understand and track eyes. Our datasets are highly customizable and can unlock the potential of Visual AI to understand the windows into our souls.

Security

The security industry remains largely reliant on manual, error prone technologies. But, Visual AI can transform security networks into smart detection systems that understand what they’re seeing and instantly trigger alerts. DataGen’s simulated datasets include automatic annotations for infrared cameras and other context-specific parameters – annotations that are impossible to add manually. This new layer of data allows you to train systems that work in the most high-stakes situations. By unlocking the power of Visual AI in security, we are helping to make our world a safer place.

Security applications for Simulated Data go far beyond traditional mounted security camera applications. Increasingly, the ability to recognize, understand, and synthesize information from faces will be a key part of security networks. DataGen offers solutions specifically for this context, helping teams to build advanced Visual AI systems centered on facial understanding.

Autonomous Vehicles

In-Cabin Applications

Ensuring passenger safety is one of the main challenges facing the autonomous vehicle industry. It is central to building trust, but requires advanced systems capable of understanding the full range of situations that confront drivers and vehicles. The ability to monitor the wellbeing of passengers in real time and to understand their emotional and physical responses to the environment around them is a key component of these safety systems. This requires smart Visual AI systems embedded into the in-cabin environment of autonomous vehicles. DataGen offers Simulated Data solutions specifically for the autonomous vehicle use case. These photorealistic datasets are designed to support safety applications that can drive adoption of this transformative technology.

Indoor Environments

Robot Simulation

Many of us dream about the day when robots will clean our houses, do the dishes, fold our laundry or grab us a beer from the refrigerator. This dream is getting closer and closer to reality, but requires photorealistic, physics-based simulations that our robots can play in and learn from. Teaching robots within simulated indoor environments provides a scalable approach that can accelerate learning times and ensure that robots can understand the full variance of indoor environments. With DataGen’s Custom Indoor Simulation Data we can make this future a reality. Our Simulated Data for indoor environments provides highly varied layouts, objects, textures, and other conditions that allow teams to supercharge their robot learning. We can simulate a range of environments that is extremely difficult to reproduce with manually gathered data, limiting data bias and maximizing the applications of this futuristic technology.

Custom Solutions

These applications are just a taste of what DataGen’s Simulated Data can do. Our technology is highly customizable and can be adapted to a huge range of new use cases. We are excited to work with teams in every area of Visual AI learning to build dataset solutions to fuel their development. We invite you to reach out to see how our solutions can best serve your needs. We look forward to hearing from you!

Smart Stores

In the future, frictionless, grab-and-go in-store experiences will be the way we shop. Overhead cameras will understand our shopping behavior and enable automatic check-out. Stores will use Visual AI systems to manage inventory, detect theft, and gather key retail analytics. DataGen offers a range of Simulated Data solutions to understand rich information, including people-product interactions, sight-lines, reactive emotions and human-to-human interaction. Our data is highly customizable and designed to minimize bias. We can even provide a transparent zero-bias report to make sure that your training data reflects the customers you want to serve.

Drones

Visual AI integrated with on-drone video will open up amazing new applications in a range of industries. Autonomous Deliveries, Sports Video Capture, Security and Military Capabilities. But, collecting enough data is a challenge in this evolving field. With a range of options and customizable parameters, DataGen’s Simulated Data for on-drone video makes building this Visual AI scalable, accessible, and the best solution for a robust system. And, DataGen’s highly customizable approach ensures that our data can meet the needs of any application you dream up.

VR/AR

Hands and Bodies

The VR world is the place of dreams. We can do anything, be anything, go anywhere. But, interacting with the virtual world is not yet as smooth as we want it to be. To fully experience the magic of Virtual Reality, we need systems that understand our bodies and link us seamlessly into this alternate universe. Building these systems demands huge amounts of video of hands and bodies, with deep metadata that interprets the 3D pose and mesh of our bodies directly from the video. DataGen’s Simulated Data for VR provides you with incredibly varied hand and body data, complete with all the metadata you need to help VR realize its full potential.

VR/AR

Eyes

Humans convey enormous amounts of complex, meaningful information through our eyes. But, building visual systems to truly understand our eyes requires highly varied datasets that include huge ranges of eye movement, eye anatomy, and other environmental parameters. DataGen offers hyper-realistic Simulated Data for teams seeking to understand and track eyes. Our datasets are highly customizable and can unlock the potential of Visual AI to understand the windows into our souls.

Security

The security industry remains largely reliant on manual, error prone technologies. But, Visual AI can transform security networks into smart detection systems that understand what they’re seeing and instantly trigger alerts. DataGen’s simulated datasets include automatic annotations for infrared cameras and other context-specific parameters – annotations that are impossible to add manually. This new layer of data allows you to train systems that work in the most high-stakes situations. By unlocking the power of Visual AI in security, we are helping to make our world a safer place.

Security applications for Simulated Data go far beyond traditional mounted security camera applications. Increasingly, the ability to recognize, understand, and synthesize information from faces will be a key part of security networks. DataGen offers solutions specifically for this context, helping teams to build advanced Visual AI systems centered on facial understanding.

Autonomous Vehicles

In-Cabin Applications

Ensuring passenger safety is one of the main challenges facing the autonomous vehicle industry. It is central to building trust, but requires advanced systems capable of understanding the full range of situations that confront drivers and vehicles. The ability to monitor the wellbeing of passengers in real time and to understand their emotional and physical responses to the environment around them is a key component of these safety systems. This requires smart Visual AI systems embedded into the in-cabin environment of autonomous vehicles. DataGen offers Simulated Data solutions specifically for the autonomous vehicle use case. These photorealistic datasets are designed to support safety applications that can drive adoption of this transformative technology.

Indoor Environments

Robot Simulation

Many of us dream about the day when robots will clean our houses, do the dishes, fold our laundry or grab us a beer from the refrigerator. This dream is getting closer and closer to reality, but requires photorealistic, physics-based simulations that our robots can play in and learn from. Teaching robots within simulated indoor environments provides a scalable approach that can accelerate learning times and ensure that robots can understand the full variance of indoor environments. With DataGen’s Custom Indoor Simulation Data we can make this future a reality. Our Simulated Data for indoor environments provides highly varied layouts, objects, textures, and other conditions that allow teams to supercharge their robot learning. We can simulate a range of environments that is extremely difficult to reproduce with manually gathered data, limiting data bias and maximizing the applications of this futuristic technology.

Custom Solutions

These applications are just a taste of what DataGen’s Simulated Data can do. Our technology is highly customizable and can be adapted to a huge range of new use cases. We are excited to work with teams in every area of Visual AI learning to build dataset solutions to fuel their development. We invite you to reach out to see how our solutions can best serve your needs. We look forward to hearing from you!

Technology

Photorealistic Human and Object Variations

With current methods of training visual AI, accurate models require large numbers of accurate 3D scans. For the most accurate outcomes, we would need to scan billions of humans to represent the diversity of humanity with photorealistic 3D models. But, this is an unrealistic dream, carrying with it enormous challenges around resources, timelines, and privacy. We envision a different approach, one that relies on state-of-the-art algorithms, instead. We start with a range of base models that can be scanned from the real world. We expand this base data substantially with advanced machine learning models that create non-linear, latent space representation of the 3D meshes, high-resolution textures, and semantic meta-data. Then, using Generative Adversarial Neural Networks (GANs), we can expand this latent space and multiply the number of unique models, building libraries of photorealistic data points for training.

Physics Based Motion Algorithms

The world is dynamic. We breathe, move and smile. In order to simulate the real world, we need to create motion simulation algorithms. These algorithms combine Robotic Motion Algorithms, Deep Reinforcement Learning, Analytical Geometry and Physical Simulation to bring our Simulated Data to life. We’re constantly pushing to simulate realistic motion with as much variance as possible, offering the rich edge cases that allow algorithms trained with our data to be more robust.

Scalable Data Generation Solution

Just offering phtorealistic data isn’t enough. To unleash the potential of AI, this simulated data must be fully annotated in a fast, economic and reliable way. We have created amazing advances in the field of Neural Rendering and Super Resolution. This allows us to produce high-variance Simulated Data with the annotations that algorithms need to learn.

Customized Realism

Define Your Lenses

Input Raw Images

Fined-tuned Data for You

How Can We Help You Today?

3D Face Reconstruction by Learning from Synthetic Data

Synthesizing Training Images for Boosting Human 3D Pose Estimation

Sim-to-Real via Sim-to-Sim Robotic Grasping with Simulated Data

Photo-Realistic Simulation of Road Scene for Data-Driven Methods in Bad Weather

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