Reporting

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This API endpoint allows you to report and review images. To report an image, you must provide the image_id , score, categories, and a valid API key.

Before you continue You can find the list of report categories in the API specification. Additionally, there's an optional comment property where you can provide any feedback.

const imageId = "ID_OF_YOUR_IMAGE";
const apiKey = "YOUR_API_KEY";
const score = 4;
const categories = ["LENS_CORRECTION","AUTO_PRIVACY"]

const reportImage = async (imageId, apiKey, score, categories) => {
    const reportImageResponse = await fetch(
      `https://api.autoenhance.ai/v3/images/${imageId}/report`,
      { 
        method: "POST" 
        headers:{
          "x-api-key": apiKey,  
        },
        body: JSON.stringify({
          score: score,
          categories: categories
        }),
      }
    );
}

import requests
import json

image_id = "ID_OF_YOUR_IMAGE"
api_key = "YOUR_API_KEY"
score = 4
categories = ["LENS_CORRECTION", "AUTO_PRIVACY"]

def report_image(image_id, api_key, score, categories):
    url = f"https://api.autoenhance.ai/v3/images/{image_id}/report"
    headers = {
        "x-api-key": api_key,
        "Content-Type": "application/json"
    }
    data = {
        "score": score,
        "categories": categories
    }

    response = requests.post(url, headers=headers, data=json.dumps(data))
    return response

$image_id = "ID_OF_YOUR_IMAGE";
$api_key = "YOUR_API_KEY";
$score = 4;
$categories = array("LENS_CORRECTION", "AUTO_PRIVACY");

function report_image($image_id, $api_key, $score, $categories) {
    $url = "https://api.autoenhance.ai/v3/images/$image_id/report";

    $data = array(
        'score' => $score,
        'categories' => $categories
    );

    $options = array(
        'http' => array(
            'header'  => "Content-Type: application/json\r\n" .
                         "x-api-key: $api_key",
            'method'  => 'POST',
            'content' => json_encode($data),
        ),
    );

    $context  = stream_context_create($options);
    $result = file_get_contents($url, false, $context);

    if ($result === FALSE) {
        return 'Error reporting image';
    }

    return 'Image reported successfully';
}

curl -X POST \
  https://api.autoenhance.ai/v3/images/ID_OF_YOUR_IMAGE/report \
  -H 'Content-Type: application/json' \
  -H 'x-api-key: YOUR_API_KEY' \
  -d '{
        "score": 4,
        "categories": ["LENS_CORRECTION", "AUTO_PRIVACY"]
    }'

Specification

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Last updated 10 months ago

import requests import json image_id = "ID_OF_YOUR_IMAGE" api_key = "YOUR_API_KEY" score = 4 categories = ["LENS_CORRECTION", "AUTO_PRIVACY"] def report_image(image_id, api_key, score, categories): url = f"https://api.autoenhance.ai/v3/images/{image_id}/report" headers = { "x-api-key": api_key, "Content-Type": "application/json" } data = { "score": score, "categories": categories } response = requests.post(url, headers=headers, data=json.dumps(data)) return response

$image_id = "ID_OF_YOUR_IMAGE"; $api_key = "YOUR_API_KEY"; $score = 4; $categories = array("LENS_CORRECTION", "AUTO_PRIVACY"); function report_image($image_id, $api_key, $score, $categories) { $url = "https://api.autoenhance.ai/v3/images/$image_id/report"; $data = array( 'score' => $score, 'categories' => $categories ); $options = array( 'http' => array( 'header' => "Content-Type: application/json\r\n" . "x-api-key: $api_key", 'method' => 'POST', 'content' => json_encode($data), ), ); $context = stream_context_create($options); $result = file_get_contents($url, false, $context); if ($result === FALSE) { return 'Error reporting image'; } return 'Image reported successfully'; }

curl -X POST \ https://api.autoenhance.ai/v3/images/ID_OF_YOUR_IMAGE/report \ -H 'Content-Type: application/json' \ -H 'x-api-key: YOUR_API_KEY' \ -d '{ "score": 4, "categories": ["LENS_CORRECTION", "AUTO_PRIVACY"] }'