> This page is for version 3.3.0 (default).
> For other versions, use one of these documentation indexes:
> - 3.3.0 (default): https://docs.nvidia.com/vss/3.3.0/llms.txt
> - Dev: https://docs.nvidia.com/vss/dev/llms.txt

> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/vss/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/vss/_mcp/server.

# Upload calibration images

POST https://ai.nvidia.com/api/v3.3/analytics/config/calibration/images
Content-Type: multipart/form-data

Upload one or more calibration images together with a single image-metadata JSON file.

Reference: https://docs.nvidia.com/vss/system-components/middleware/api-gateway-mcp/video-analytics-api/video-analytics-api-reference/config/controller-config-upload-calibration-images

## Authentication

- `Authorization` header (bearer token, required) — Bearer authentication of the form `Bearer <token>`, where token is your auth token.

## Request

### Body (multipart/form-data)

This endpoint expects a multipart form with multiple files.

- `images` (files, required)
- `imageMetadata` (files, required)

## Response

### 201

Successful or Partially Successful Operation.

- `success` (InsertImagesResponseSuccess, required)
- `invalidImages` (list of string, required, nullable)

## Errors

### 400 Bad Request Error

Bad Request. This response will be sent if there are too many or no files being uploaded. It can also be sent if there is any multer error because of uploaded files in request.

- `error` (string, required)

### 404 Not Found Error

Resource Not Found

- `error` (string, required)

### 422 Unprocessable Entity Error

Unprocessable Entity

- `error` (string, required)

### 500 Internal Server Error

Internal Server Error

- `error` (string, required)

## Types

### InsertImagesResponseSuccess

- `partial` (boolean, required)
- `complete` (boolean, required)

## Examples

**Request**

```json
{
  "imageMetadata": [
    "<file: string>"
  ],
  "images": [
    "<file: string>"
  ]
}
```

**Response**

```json
{
  "success": {
    "partial": true,
    "complete": true
  },
  "invalidImages": [
    "image1"
  ]
}
```

**SDK Code**

```python
import requests

url = "https://ai.nvidia.com/api/v3.3/analytics/config/calibration/images"

files = {
    "imageMetadata": "open('string', 'rb')",
    "images": "open('string', 'rb')"
}
headers = {"Authorization": "Bearer <token>"}

response = requests.post(url, files=files, headers=headers)

print(response.json())
```

```javascript
const url = 'https://ai.nvidia.com/api/v3.3/analytics/config/calibration/images';
const form = new FormData();
form.append('imageMetadata', 'string');
form.append('images', 'string');

const options = {method: 'POST', headers: {Authorization: 'Bearer <token>'}};

options.body = form;

try {
  const response = await fetch(url, options);
  const data = await response.json();
  console.log(data);
} catch (error) {
  console.error(error);
}
```

```go
package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://ai.nvidia.com/api/v3.3/analytics/config/calibration/images"

	payload := strings.NewReader("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"imageMetadata\"; filename=\"string\"\r\nContent-Type: application/octet-stream\r\n\r\n\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"images\"; filename=\"string\"\r\nContent-Type: application/octet-stream\r\n\r\n\r\n-----011000010111000001101001--\r\n")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(res)
	fmt.Println(string(body))

}
```

```ruby
require 'uri'
require 'net/http'

url = URI("https://ai.nvidia.com/api/v3.3/analytics/config/calibration/images")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request.body = "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"imageMetadata\"; filename=\"string\"\r\nContent-Type: application/octet-stream\r\n\r\n\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"images\"; filename=\"string\"\r\nContent-Type: application/octet-stream\r\n\r\n\r\n-----011000010111000001101001--\r\n"

response = http.request(request)
puts response.read_body
```

```java
import com.mashape.unirest.http.HttpResponse;
import com.mashape.unirest.http.Unirest;

HttpResponse<String> response = Unirest.post("https://ai.nvidia.com/api/v3.3/analytics/config/calibration/images")
  .header("Authorization", "Bearer <token>")
  .body("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"imageMetadata\"; filename=\"string\"\r\nContent-Type: application/octet-stream\r\n\r\n\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"images\"; filename=\"string\"\r\nContent-Type: application/octet-stream\r\n\r\n\r\n-----011000010111000001101001--\r\n")
  .asString();
```

```php
<?php
require_once('vendor/autoload.php');

$client = new \GuzzleHttp\Client();

$response = $client->request('POST', 'https://ai.nvidia.com/api/v3.3/analytics/config/calibration/images', [
  'multipart' => [
    [
        'name' => 'imageMetadata',
        'filename' => 'string',
        'contents' => null
    ],
    [
        'name' => 'images',
        'filename' => 'string',
        'contents' => null
    ]
  ]
  'headers' => [
    'Authorization' => 'Bearer <token>',
  ],
]);

echo $response->getBody();
```

```csharp
using RestSharp;

var client = new RestClient("https://ai.nvidia.com/api/v3.3/analytics/config/calibration/images");
var request = new RestRequest(Method.POST);
request.AddHeader("Authorization", "Bearer <token>");
request.AddParameter("undefined", "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"imageMetadata\"; filename=\"string\"\r\nContent-Type: application/octet-stream\r\n\r\n\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"images\"; filename=\"string\"\r\nContent-Type: application/octet-stream\r\n\r\n\r\n-----011000010111000001101001--\r\n", ParameterType.RequestBody);
IRestResponse response = client.Execute(request);
```

```swift
import Foundation

let headers = ["Authorization": "Bearer <token>"]
let parameters = [
  [
    "name": "imageMetadata",
    "fileName": "string"
  ],
  [
    "name": "images",
    "fileName": "string"
  ]
]

let boundary = "---011000010111000001101001"

var body = ""
var error: NSError? = nil
for param in parameters {
  let paramName = param["name"]!
  body += "--\(boundary)\r\n"
  body += "Content-Disposition:form-data; name=\"\(paramName)\""
  if let filename = param["fileName"] {
    let contentType = param["content-type"]!
    let fileContent = String(contentsOfFile: filename, encoding: String.Encoding.utf8)
    if (error != nil) {
      print(error as Any)
    }
    body += "; filename=\"\(filename)\"\r\n"
    body += "Content-Type: \(contentType)\r\n\r\n"
    body += fileContent
  } else if let paramValue = param["value"] {
    body += "\r\n\r\n\(paramValue)"
  }
}

let request = NSMutableURLRequest(url: NSURL(string: "https://ai.nvidia.com/api/v3.3/analytics/config/calibration/images")! as URL,
                                        cachePolicy: .useProtocolCachePolicy,
                                    timeoutInterval: 10.0)
request.httpMethod = "POST"
request.allHTTPHeaderFields = headers
request.httpBody = postData as Data

let session = URLSession.shared
let dataTask = session.dataTask(with: request as URLRequest, completionHandler: { (data, response, error) -> Void in
  if (error != nil) {
    print(error as Any)
  } else {
    let httpResponse = response as? HTTPURLResponse
    print(httpResponse)
  }
})

dataTask.resume()
```