SynthVision Consulting
Transformation Through Synthetic Data
We offer high-quality synthetic datasets for computer vision projects, ranging from object detection to hyperspectral image generation. Our data ensures innovation with precision and efficiency.
Get Data to Drive Innovation
Obtain data that is difficult or impossible to acquire, whether due to the lack of appropriate sensors or the high acquisition costs
Rare Events & Edge Cases
Expand the coverage of your problem with cases that are difficult to capture with real sensors, generating data for rare events and edge cases
Pixel-Perfect Annotations
Get data annotated with 100% accuracy, eliminating biases and human errors to build better and more precise models
Reduce Time-to-Market & Reduce Risks
Reduce time-to-market and associated risks with quick access to high-quality data, minimizing bottlenecks and failures
How Can We Help?
Transforming Challenges into Solutions with Synthetic Data
We help companies overcome data challenges with customized synthetic solutions. With our services, you can solve complex problems and accelerate project development.
- Synthetic Data Generation
- End-to-End Development
- Consulting
Best Services
We Can Offer For You
Use Cases
For Different Industries
Aerial Imagery with Realistic Light & Terrain Control
We create high-quality aerial images with precise lighting and terrain variations. Unlike standard augmentations, our synthetic data ensures realistic, adaptable environments for AI training.
Customizable Objects & Scene Modifications
Our synthetic data goes beyond simple recoloring. We modify objects, swap equipment, and change environments while preserving pixel-perfect annotations for high-performance AI models.
Scalable Scene Adjustments for Maximum Variability
We generate diverse datasets by adjusting lighting, product arrangements, and object presence. This controlled variability enhances AI training for real-world applications.
Hyper-Realistic Lighting & Multi-Scale Data
From close-up details to aerial perspectives, we simulate complex lighting and individual object shadows. Our datasets provide the precision needed for high-resolution AI models.
Damage Simulation with Precise Object Control
We create realistic damage scenarios with full customization—altering car colors, crash patterns, and backgrounds. This enables AI models to detect and analyze defects with exceptional accuracy.
Who We Are
Meet the Team
Guilherme Bileki
Founder
FAQ
Frequently Asked Questions
What exactly are synthetic data and why should you use them?
Synthetic data are artificially generated images or data that mimic real-world situations. They are used to train AI/ML models without the need to collect and process large volumes of real data. This helps overcome issues of privacy, bias, cost, and data availability.
What are the benefits of using synthetic data for model training?
Synthetic data allow for the creation of controlled scenarios with unlimited variations. This ensures more diversity in training, improves model generalization, and can accelerate development. Additionally, it helps address privacy and security issues by eliminating the need for confidential real data.
What is the difference between simulated synthetic data generation and generative AI?
Simulated synthetic data generation creates data through 3D environments and physical simulations, reproducing real conditions of lighting, physics, and textures. Generative AI, such as Generative Adversarial Networks (GANs), creates new data by learning patterns from existing datasets. Simulated generation is more controlled and precise, while generative AI offers greater flexibility in data creation but with less control over environmental details.
Is it possible to seamlessly integrate real data with synthetic data?
Yes, we offer solutions for integrating synthetic data with real data, allowing for model fine-tuning. This approach further enhances model accuracy by leveraging the diversity of synthetic data and the specificity of real data.
How does the process of developing a complete solution work?
Our process starts with understanding the client’s needs, followed by synthetic data creation and model training. After that, we deploy the model with an API and provide a script for adjustments with real data. We also offer ongoing support to ensure the quality of the solution.
How can I get started using SynthVision’s services effectively?
Simply contact us to discuss your needs. We can create customized datasets or develop complete solutions tailored to your use case. We offer flexibility to accommodate both small projects and large-scale demands.
From Our Blog Posts
All the Latest SynthVision Stories
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How Synthetic Data Is Powering 4D Scene Reconstruction: Lessons from the Geo4D Paper
4D scene reconstruction — building 3D environments that evolve over time — is one of […]
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The Future of AI Lies in Synthetic Data – And Tech Giants Already Know It
Artificial intelligence has advanced at an impressive pace in recent years, but a fundamental challenge […]
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Synthetic Data: The Foundation for More Robust and Scalable AI Solutions
The AI revolution is driven not just by algorithms but by the quality and diversity […]
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The Future of AI: Synthetic Data as the Key to Overcoming the Real Data Limit
At NeurIPS 2024, one of the most important Artificial Intelligence conferences in the world, Ilya […]