> For the complete documentation index, see [llms.txt](https://docs.searchagora.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.searchagora.com/search/detect-objects.md).

# Detect objects

POST `/detect-objects`

This is an optional step when doing image search. This endpoint helps you detect and extract specific objects in an image to give users a more precise image search experience. We use computer vision technology to automatically detect and extract the specific objects, providing you with a confidence score. Once you get the response with the cropped images, you can send pass the selected image through the [Image Search](/search/image-search.md) flow.&#x20;

**Headers**

| Header          | Type   | Description   |
| --------------- | ------ | ------------- |
| `Authorization` | string | Bearer token. |

**Request body**

```json
{
    "base64Image": "string"
}
```

**Response**

{% tabs %}
{% tab title="200" %}

```json
{
  "status": "success",
  "detectedObjects": [
        {
            "objectName": "Pants",
            "confidence": 0.8482445478439331,
            "croppedImage":"data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD",
            "dimensions": {
                "width": 276,
                "height": 407,
                "x": 253,
                "y": 968
                          }
         }
     ]
}
```

{% endtab %}

{% tab title="400" %}

```json
{
 "status": "Server Error",
}
```

{% endtab %}
{% endtabs %}


---

# Agent Instructions
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## Querying This Documentation
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Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.searchagora.com/search/detect-objects.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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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.
