Get the exact data you need for your application
Save on development time with automated, labeled synthetic data.
With an experienced team of ML engineers and technical artists, Infinity AI delivers realistic data across a variety of verticals.
Build more robust ML models
An ML model is only as good as the data it is trained on, and diverse training data leads to robust production-level models.
Our parameterized generators enable complete control over synthetic data distributions, including body shape, skin tone, lighting conditions, camera angles, and more.
Minimize bias. Ensure privacy. Ship production models with confidence.
All synthetic data comes with pixel-perfect labels that might be hard or even impossible to get via manual annotations.
Labels can include semantic segmentation, 2D/3D keypoints, bounding boxes, activity classification, joint angles, depth, surface normals, scene metadata, object attributes (e.g. human body dimensions), and much more.
Working with synthetic data is an infinitely better experience for ML engineers than collecting and labeling real-world data.
Iterate quickly. Debug at the click of a button. And get real results fast. Never be blocked by lack of data again.
Synthetic data empowers engineers with the data to solve any ML problem.
Infinite use cases
We help world-class ML teams use synthetic data across many verticals.
Synthetic data to train various exercise models from pose estimation to rep counting, form correction to activity classification. Datasets include poor lighting, challenging occlusions, low-contrast clothing, and uncommon camera angles.Learn more
Synthetic data to train models related to warehouse safety including PPE detection (hard hats, safety vests, etc), ergonomics feedback, and aisle congestion monitoring. Import real-world objects (e.g. specific PPE or assembly line products) into your simulated dataset.Learn more
Synthetic data to train models related to robotics including PPE detection (hard hats, safety vests, etc), ergonomics feedback, and aisle congestion monitoring. Import real-world objects (e.g. specific PPE or assembly line products) into your simulated dataset.Learn more
Synthetic data to train accurate pose estimation and object detection models for automated stores (like AmazonGo). Import specific store layouts, procedurally add inventory to shelves, include diverse shoppers, and generate multi-camera views of a scene.
Synthetic data to train models for residential or enterprise security applications, including package stealing, gun detection, shoplifting, and pet/animal identification.
Featuring premium and open source datasets available for academic and commercial use. View them all on the Marketplace.
A synthetic vision dataset for fitness featuring complex and diverse patterns of avatar occlusion.
IMU Fitness Basic
An open-source synthetic IMU dataset for wearable fitness applications.
IMU Fitness Random Motion
Synthetic IMU dataset of random movements to make models robust to non-target movements.
Build your own dataset
The Infinity API
Generate data that meets your specs from lighting conditions, camera position, and more. Get started for free. No credit card required.
We are leading the charge for synthetic data in computer vision
Published at the NeurIPS
Data-Centric AI Workshop
Introducing InfiniteForm, our synthetic, minimal bias dataset for fitness applications.Read paper
Book an intro call to get started or try out a synthetic dataset today
Schedule a 30-min time-slot with us directly, or send us a message if there's something else we can help with.
During the call, we'll show you a live demo, discuss your needs, and identify how we can help.