Rapid Vision
Synthetic scene
Depth map

Synthetic Data for Computer Vision

Fast results. Perfect annotations.

When clients contact us

No real data yet

Don't wait for data to be collected.

Labeling is too hard

Perfect ground truth without human annotation.

Edge cases matter

Simulate rare defects and cases.

You need millions of samples

Scale datasets instantly.

How we work

1

Requirements discussion

We schedule a call where you describe the dataset requirements, scene details and desired annotations.

2

Demo dataset

We generate a small sample dataset so you can evaluate quality and format.

3

Dataset generation

After approval we generate the full dataset according to the agreed specifications.

4

Delivery

You receive the dataset or the generation tools depending on the chosen workflow.

What sets up apart?

Specialized in-house solutions

We use internally developed tools built specifically for dataset generation, enabling fast iteration, broad variability, and precise control over the parameters that drive realism and annotation quality.

Photorealistic results

Our rendering pipeline supports complex optical and material effects, including glass, liquids, translucent materials, fibers, and volumetrics, allowing us to produce highly realistic data for demanding vision tasks.

Physics simulations

We use physics simulation to create scenes with realistic object behavior, interactions, and placement, making complex environments more plausible and more useful for training.

Cutting-edge methods from the VFX industry

We apply technologies and workflows developed by the VFX industry to dataset generation, making it possible to create procedural rust, scratches, deformations, and even complex assets like trees, buildings, landscapes.

Custom tool delivery

Recieve not just a dataset, but a full custom generation tool that your team can run on your own infrastructure to produce new samples with specific parameters whenever needed.

Universal dataset format

Our dataset format allows to render the dataset once and export a task-specific subset in any format you need.

Delivery options

Static dataset

A ready dataset generated according to your requirements.

Dataset generator (CLI)

A tool for generating datasets with variable parameters.

Generation Configurator

A web interface for self-service dataset generation.

Overview

We generate images and annotations and deliver a ready-to-use dataset.

You receive a generator that can be run with different configurations.

Allows users to configure scenes and run generation without programming.

When it fits
  • the task is well defined
  • one fixed-size dataset is required
  • fast iteration is required
  • generation is performed by an engineer
  • parameter control is required
  • the tool is used by multiple people
  • generation must be available 24/7
  • remote infrastructure is required
Delivery

dataset archive

Self-Hosted CLI tool

Self-Hosted or managed cloud platform

Additional
  • Option to order an additional sample
  • Generator buyout at a discount
  • Technical support and maintenance
  • Technical support and maintenance
Defect detection preview

Use cases

Synthetic vs real data

 SyntheticReal data
Annotation accuracy✓ Perfect Varies
Data distribution✓ Fully controlledNot controlled
Rare scenarios✓ Can be generatedAlmost absent
Speed✓ Hours-daysWeeks-months
Real-world fidelityRequires validation✓ Natural

Products

RV Framework

A developer tool that enables automatic synthetic data generation.

Documentation

RV OSS

A set of open-source tools and side projects from the team.

GitHub

Early access

RV Platform

A universal web platform for self-service synthetic data generation.

RV Store

A marketplace of ready datasets that can be purchased without a custom production cycle.

Company

Rapid Vision LLC

OOO “RAPID VISION”

Moscow

mishapankin@gmail.com

The result was achieved or the work was carried out with support from the “Start-AI” grant of the Foundation for Assistance to Innovations.

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2026 Rapid Vision