Datasets and Versioning
Dataset Splits
Split datasets into training, testing, and validation sets
🔄 Managing Dataset Splits
This guide explains how to manage train/test/validation splits in your datasets at different stages of your workflow.1. Split Adjustment at Job → Dataset Transfer
When adding frames from a completed job to the dataset, you can configure how the new frames will be distributed:| Split Type | Purpose | Recommended % |
|---|---|---|
| Training | Used to teach the model patterns | 70-80% |
| Testing | Final model evaluation | 10-15% |
| Validation | In-progress performance checks | 10-15% |
Use the percentage sliders to adjust splits. A second popup will appear for confirmation before adding to dataset.
2. Dataset Page Split Management
View and manage your dataset splits directly in the dataset page header:
Split View
Filter and view frames based on their assigned split (Training/Testing/Validation). You can also filter by annotated/unannotated frames within each split.Split Reassignment
Select one or more frames and the “Reassign” button will appear, allowing you to move frames between splits as needed. This gives you fine-grained control over your dataset organization.3. Version-specific Splits
When creating a new version, you can define a new split ratio for the version using the slider in the create version panel:
Split changes for versions don’t affect the main dataset’s split breakdown.