Model Dashboard
Model dashboard user interface overview
Dashboard Information:
Split name
Experiment name
Number of iterations
Runtime
Best Loss (Train & Validation)
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.
Under Manage Experiments, you can check the number of experiments tested by the user using a particular model type.
Experiment status
Actions that can be performed after creating an experiment
Deploy and export - This will link the user to the Deploy and export page of Model Playground
See parameters - This will take the user inside the experiment section where the user can review the parameters used. (Read-only)
Change color - Allows users to change colors used in different widgets for a particular experiment.
Copy Experiment - Allows users to make a new experiment with all the same parameters from the experiment from which it is copied. Then, the user has the freedom to change some indivdual parameters in the new experiment.
Delete experiment
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