Data Split
This page essentially gives an overview of the various splits already tried when a user enters the model building phase after data annotation and quality control steps.
Different parameters of the created splits on this page
Split name
Problem - This is the type of model you want to use for the model building phase. It includes: Attribute prediction, Label class prediction, Object detection, Image tag prediction, Instance segmentation, Semantic segmentation.
Creation date
Created by - This helps to track which user is experimenting with a particular model.
Images - This value gives an idea of the number of images (Total, Train, Test, Validation) that were used for a particular set of experiments/model types.
Experiments - Total number of experiments a user has carried out for a model type.
Actions you can perform on this page
Open model dashboard if the split is clicked.
Delete - Delete a particular split
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