# Validation

## Validate a group of images from a RESO object

<mark style="color:green;">`POST`</mark> `https://api.foyer.ai/Media/validateReso`

Similar to the classification endpoint, this endpoint runs your image through classification and object detection. In addition, each image and detected categories of images will be run through a suite of validation tests.

#### Headers

| Name          | Type   | Description          |
| ------------- | ------ | -------------------- |
| Authorization | string | Authorization token. |

#### Request Body

| Name          | Type    | Description                                                                                          |
| ------------- | ------- | ---------------------------------------------------------------------------------------------------- |
| verbose       | boolean | Include information about tests that passed. Defaults to `false`.                                    |
| includeImages | boolean | Include classification information for all images in response object. Defaults to `false`.           |
| odata         | object  | A full RESO object. The keys should include `@odata.context`, `@odata.nextLink`, and `@odata.value`. |

{% tabs %}
{% tab title="200 Images successfully classified and validated." %}

```javascript
{
  "metadata": {
    "run": 18,
    "passed": 14,
    "failed": 4
  },
  "tests": {
    "failed": [
      {
        "images": [
          "b304d42b79a1ac50b8ee55efccf97eb311501bfc"
        ],
        "tag": "kitchen_has_cabinets",
        "human_problem_text": "No visible cabinetry",
        "recommendation": "Ensure cabinets are visible in this picture."
      },
      {
        "images": [
          "b304d42b79a1ac50b8ee55efccf97eb311501bfc",
          "6db152d0c4d69997a163ef0de62e27fc54e1a845"
        ],
        "tag": "kitchen_sufficient_appliances",
        "human_problem_text": "Missing the following items: refrigerator, oven",
        "recommendation": "Ensure this picture has visible appliances."
      },
      {
        "images": [
          "945e330df24b1c8c81628ada493618fb6bfa8340"
        ],
        "tag": "bathroom_has_windows",
        "human_problem_text": "No visible windows",
        "recommendation": "Ensure at least one window is visible in this picture."
      },
      {
        "images": [
          "40c97f5d019f6b14a55a9a3c9ad67a9a0e04fee4",
          "b1a6a5f715c19c710485725ef69d039a35a2a0e0",
          "f1331c64d91a99058fa5483d35414d32560d516b"
        ],
        "tag": "bathroom_no_lights",
        "human_problem_text": "No visible light source",
        "recommendation": "Ensure a light is visible in this picture."
      }
    ]
  },
  "images": [
    {
      "classifications": [
        {
          "id": "3873",
          "confidence": "1.0000",
          "name": "frontofhouse",
          "rank": 1,
          "imageId": 203235888,
          "source": "classifier",
          "updatedAt": "2020-09-14T17:10:01.378Z",
          "createdAt": "2020-09-14T17:10:01.378Z",
          "classId": null
        }
      ],
      "detections": [
        {
          "id": "12229",
          "mask": "clouds",
          "area": 358518,
          "boundingBox": [
            0,
            0,
            1024,
            456
          ],
          "confidence": "0.6025655865669250",
          "hash": "0a0e5ab36ffbafdf58488cd0ce8a92f3",
          "isCrowd": 0,
          "imageId": 203235888,
          "attributes": null,
          "source": "classifier",
          "updatedAt": "2020-09-14T17:10:01.542Z",
          "createdAt": "2020-09-14T17:10:01.542Z",
          "classId": null,
          "segmentation": null
        },
        ...
      ],
      "metadata": {
        "md5": "0a0e5ab36ffbafdf58488cd0ce8a92f3",
        "width": 1024,
        "height": 768,
        "url": "http://photos.listhub.net/A2SELL/470612/1",
        "mediaKey": "30d3218e17442f1ccafb7daa5e1dc3eaf852f2cc"
      }
    }
  ]
}
```

{% endtab %}

{% tab title="401 Invalid authentication token." %}

```javascript
{
  "statusCode": 401,
  "error": "Unauthorized",
  "message": "Invalid credentials",
  "attributes": {
    "error": "Invalid credentials"
  }
}
```

{% endtab %}

{% tab title="403 No associated account found." %}

```
<Response body is empty>
```

{% endtab %}
{% endtabs %}


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://foyer.gitbook.io/docs/api/validation.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.