Synthetic Data for Robust Computer Vision

Optimise, qualify and scale your vision system by controlling your data

Realistic augmentations with customisable human-centric scenarios simulated in 3D scenes recreated from your own imagery. More volume of quality data in less time with less effort.

  • Higher performance with pixel-perfect annotations in the exact same scenes the system will operate in, no digital twins
  • Comprehensive coverage of demographics, body shapes and poses, rare scenarios and edge cases
  • Compliance with regulations, data privacy and functional safety
  • Cuboids, Openpose, per-body-part panoptic segmentation
  • Control over the people's pose, gender, height, weight and more
  • Occlussion rates and occlusion masks
  • 3D customisable labels
Book a Demo

and receive one hundred samples with no cost and no attachments. Limited-time offer.

Why Choose Nabla Labs?

Our innovative approach to synthetic data generation sets us apart from traditional competitors

Production-Ready Scenes

Our data is generated from your actual production environments, not generic 3D rendering, using our automatic 3D-scene understanding pipeline that allows for proper perspective, occlusion and dimensions-aware data generation. This directly addresses the domain shift problem and ensures your models perform in real-world conditions.

Save Time & Overcome Limitations

We generate target hard-to-get scenarios, edge cases, and diverse semantic visuals that your system can face in production but are difficult to collect. Overcome the limitations imposed by traditional data collection and manual data labeling.

Pixel-Perfect Annotations

Our generation system delivers quality comparable to traditional rendering approaches, with the added benefit of real-scene accuracy and domain-specific targeting.

Risk-Free Evaluation

Start with free samples in your production domain to evaluate our data quality before making any commitment. No cost barrier to testing our superior solution.

Access to Free Example Datasets

Get completely free access to generic examples of our synthetic datasets so that you can use and experiment with our data. Download after completing a simple form to help us understand your use case.

Available Datasets

Synthetic Person Inference

High-quality synthetic dataset for person detection, keypoint detection, pose estimation, and segmentation tasks. Unlike competitors using generic 3D rendering, this dataset was generated within a real scene from the PedX Dataset using our 3D-scene aware generation pipeline.Perfect for EU and US automotive, robotics, and security applications.

557MB
Complete Dataset
532 samples
COCO Annotations
Bounding boxes, cuboids, OpenPose, per-body-part panoptic segmentation masks
Metadata and data statistics
Fully synthetically generated people, same PedX scene
100% FREE
Coming Soon - EU/US Market Focus

More datasets in automotive, robotics, and retail domains. Based in Gothenburg, Sweden, serving European and US markets with superior real-scene data generation.

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Use cases across industries

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Elevate your vision system

Obtaining the best of both worlds
Fully synthetic data is precise and highly controllable but can lack the visual properties of the application data. Our solution provides datasets that are representative of the real data with precise annotations.
More than datasets with data
Besides high-quality labels, get control of the statitical attributes of your datasets. Probability distributions, demographics, occlusion rates, and more while both ensuring data diversity and mitigatating biases.
Streamline the data collection and annotation processes
Save resources and enginnering teams' time by digitising the physical production of target scenarios and removing the need of human annotators and iterative label reviews.
Comply with regulatory requirements
The generated data will help your business address regulatory requirements like GDPR and CCPA. Eliminate the risks of reproducing hazardous scenarios that your system needs to be trained on and tested against.
Diverse and custom label categories
Train, validate and test your models with a diverse set of labels, common 2D and 3D annotation modalities being supported.

Questions and special inquiries

Feel free to contact us for further information, technical discussions, or to explore potential collaborations.
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