Synthall

How synthall works

Synthall is a software suite for deep learning engineers who want to solve real world problems but lack labeled data. Synthall allows for the easy generation of synthetic data.

Instead of painstakingly gathering and labeling real data for use in training, our product allows you to directly program your data, build infinitely large datasets, and rapidly solve real problems.

Why Synthall?

Rapidly Iterate

Tailor your dataset your to your exact needs. Dataset not performing well in low light? Generate more data in low light instantly.

Synthetic Data Toolchain

Use our many existing scenes to hit the ground running when creating custom synthetic data. Place your objects in a variety of environments created for your use.

End-to-End Pipeline

Our tools will let you quickly generate synthetic data, train models and deploy to production with BrainFrame.

Features

Generates Scenes and Objects

Data is Already Labeled

No Human Error in Labeling

Infinite Data

Easily Tweak Synthall's Output

Premade Asset Library

Cost Breakdown Example

Without Synthall

With Synthall

$336,000

it costs ~$6.72 per image to segmentation label 50k images using Amazon SageMaker, assuming an average of 8 objects per image.

$16,800

with Synthall, you can train your dataset on 95% synthetic data. By using only 5% real data, you save 95% of the cost of expensive labeling