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.
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.
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.
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