# Model Dashboard

_**Model dashboard user interface overview**_

<figure><img src="https://wiki.cloudfactory.com/media/pages/docs/userdocs/model-playground/model-dashboard/8b8f2ab53d-1684131938/image-80.webp" alt=""><figcaption><p>Dashboard overview in detail format</p></figcaption></figure>

### Dashboard Information: <a href="#dashboard-information" id="dashboard-information"></a>

* 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 <a href="#actions-that-can-be-performed-after-creating-an-experiment" id="actions-that-can-be-performed-after-creating-an-experiment"></a>

<figure><img src="https://wiki.cloudfactory.com/media/pages/docs/userdocs/model-playground/model-dashboard/2d97a6964d-1684131938/image-134.webp" alt=""><figcaption><p>Experiment options</p></figcaption></figure>

* **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**
