Custom Data Augmentation

The custom data augmentation model in Zynthetix is designed to enhance existing datasets by generating additional synthetic data.

Overview

• Purpose: Generating additional rows of synthetic data.
• Input: CSV file uploaded by the user, containing existing data.
• Output: Additional rows of synthetic data.

Implementation

The custom data augmentation model augments existing data in CSV files with synthetic rows. It is deployed on backend servers, using cloud GPU instances for processing.

Usage

To use the custom data augmentation model within the Zynthetix platform:

1. Upload a CSV file containing existing data.
2. The model processes the data to generate additional synthetic rows.
3. Review and download the augmented dataset through the platform.