> For the complete documentation index, see [llms.txt](https://docs.deepomatic.com/platform-documentation/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.deepomatic.com/platform-documentation/deepomatic-drive/configuring-visual-automation-applications/evaluating-performances/qualitative-evaluation.md).

# Qualitative evaluation

## On the platform

By clicking on a given model in the Models page, and going on the **Inference** tab, you access a page where you can quickly test your model on few images.

You can either drag & drop images, or enter several image URLs. Your images will go through the neural network you have trained and you will get the predictions for these images.

![](/files/-LQ-UlYVJ_6dAhxVhpI3)

## Using Deepomatic CLI

Each model version is deployed as a web API after it has been trained. To run some inferences and evaluate the performances of your trained model version, you can use Deepomatic CLI.

### Installation & Credentials

See the link below to install Deepomatic CLI

{% content-ref url="/pages/-M1jznc1UDYbaN\_WnyKJ" %}
[Installation](/platform-documentation/deepomatic-cli/installation.md)
{% endcontent-ref %}

In order to test your trained model versions as Cloud APIs, you will need two pieces of information:

* `DEEPOMATIC_APP_ID`&#x20;
* `DEEPOMATIC_API_KEY`

Both your credentials can either be retrieved from your account page on the Deepomatic platform or through your Deepomatic Platform administrator. Then you need to export them as environment variables before using the script:

{% tabs %}
{% tab title="Linus/MacOS" %}

```bash
export DEEPOMATIC_APP_ID=xxxxxxxxxxxx
export DEEPOMATIC_API_KEY=xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
```

{% endtab %}

{% tab title="Windows" %}

```bash
set DEEPOMATIC_APP_ID=xxxxxxxxxxxx
set DEEPOMATIC_API_KEY=xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
```

{% endtab %}
{% endtabs %}

### Model commands

Look at the [model command](/platform-documentation/deepomatic-cli/platform-commands.md#model-commands) in the Deepomatic CLI - Platform Commands page.&#x20;


---

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