Exporting Datasets

This guide explains how to export datasets from WrenchML and use them for training computer vision models.

Dataset Export Overview

After creating a complete dataset in WrenchML, you'll need to export it to use with your computer vision training pipeline. The export process packages all generated images, annotations, and metadata into a standardized format ready for model training.

Exporting Your Dataset

Prerequisites

Before exporting a dataset, ensure:

1. The dataset has completed generation (status shows "Completed")
2. You have sufficient storage space on your local machine (datasets typically range from 100MB to 2GB)

Export Process

1. Navigate to the Datasets page
   • Click on "Datasets" in the main navigation
2. Locate your dataset
   • Find the dataset you want to export in the list
   • Verify its status is "Completed"
3. Initiate the download
   • Click the download icon in the Actions column
   • The system will prepare the dataset for download
   • This preparation may take a few moments for large datasets
4. Save the ZIP file
   • Your browser will prompt you to save the ZIP file
   • Choose a location where you'll have easy access for your ML workflow