A DETR ResNet-50 detector running on Cloudflare Workers AI, so images stay on the platform.

What does a detection return?

A list of objects, each with a label, a confidence score from 0 to 1 and a bounding box in pixel coordinates. A minimum-confidence parameter trims weak detections.

Which objects can it recognise?

The 80 everyday categories of the COCO dataset: people, vehicles, animals, furniture, food and common objects. It does not identify brands, faces or text.

What image formats and sizes work?

JPEG, PNG and WebP up to 2.5 MB, by URL or as POSTed bytes.

What does a call cost?

25 tokens per image. The free plan covers 20 detections a month.

AIMAINTAINED25 tokens / call

Object Detection API

Labels, confidence scores and bounding boxes for the objects in any image, with an on-platform model

Detect the objects in an image and get labels, confidence scores and bounding boxes, with a minimum-confidence filter. Send an image URL or POST the bytes, JPEG, PNG or WebP up to 2.5 MB. The model runs on the platform, so no third-party keys and no data leaves it.

Every call needs an X-Api-Key header. A free key includes 500 tokens a month, no card required. 25 tokens per call, so the free plan covers about 20 calls a month.

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response.json

{
  "ok": true,
  "count": 1,
  "min_score": 0.5,
  "objects": [
    {
      "label": "cat",
      "score": 0.9983,
      "box": {
        "xmin": 0,
        "ymin": 3,
        "xmax": 1087,
        "ymax": 790
      }
    }
  ]
}

Production Ready: Battle-tested infrastructure with a 99.9% uptime SLA. Rate limits are generous, responses are consistent.
Simple Integration: Standard REST + JSON. Works with any HTTP client. Copy-ready code snippets in 4 languages.
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Use cases for Object Detection API

Flag images that contain people, vehicles or animals in a moderation or security pipeline.
Count objects such as cars in a parking lot or products on a shelf from a photo.
Crop or highlight detected objects using the returned bounding boxes.
Pre-filter uploads before a more expensive manual review.

Object Detection API endpoints

Every endpoint with its parameters and a real example response.

OpenAPI definition Postman workspace

GETDetect Objects
POSTDetect Objects (POST)

GETDetect Objects

https://api-object-detection.dataandapis.com/v1/detect

Query parameters

Parameter	Example
min_score	0.5	Optional
url	https://upload.wikimedia.org/wikipedia/commons/3/3a/Cat03.jpg	Optional

Example request

curl "https://api-object-detection.dataandapis.com/v1/detect?min_score=0.5&url=https%3A%2F%2Fupload.wikimedia.org%2Fwikipedia%2Fcommons%2F3%2F3a%2FCat03.jpg" \
  -H "X-Api-Key: YOUR_API_KEY"

Example response

{
  "ok": true,
  "count": 1,
  "min_score": 0.5,
  "objects": [
    {
      "label": "cat",
      "score": 0.9983,
      "box": {
        "xmin": 0,
        "ymin": 3,
        "xmax": 1087,
        "ymax": 790
      }
    }
  ]
}

POSTDetect Objects (POST)

https://api-object-detection.dataandapis.com/v1/detect

Request body

{
  "url": "https://upload.wikimedia.org/wikipedia/commons/3/3a/Cat03.jpg"
}

Example request

curl -X POST "https://api-object-detection.dataandapis.com/v1/detect" \
  -H "X-Api-Key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{ "url": "https://upload.wikimedia.org/wikipedia/commons/3/3a/Cat03.jpg" }'

Example response

{
  "ok": true,
  "count": 1,
  "min_score": 0.5,
  "objects": [
    {
      "label": "cat",
      "score": 0.9983,
      "box": {
        "xmin": 0,
        "ymin": 3,
        "xmax": 1087,
        "ymax": 790
      }
    }
  ]
}

Where the data comes from

Source: Cloudflare Workers AI object detector (DETR ResNet-50, COCO classes). No stored dataset.
Freshness: Inference runs live on every call.

One install. Every endpoint.

No proprietary SDKs needed. Any HTTP client works. Pick your language and paste.

3languages

2endpoints

RESTarchitecture

1key for all APIs

Fully typed responses — auto-completion in your IDE
Tracks the API in lockstep — new endpoints land same day
One key works across 125+ APIs on the platform

import axios from 'axios';

const { data } = await axios.get(
  'https://api-object-detection.dataandapis.com/v1/detect',
  { headers: { 'X-Api-Key': process.env.API_KEY } }
);

Object Detection API · X-Api-Key

Explore the endpoints

Browse request parameters and inspect live example responses.

Available Endpoints

Request Parameters

API URL

Headers

X-Api-Key

Query Parameters

min_score(Optional)

url(Optional)

Target:

Client:

import axios from 'axios';

const url = 'https://api-object-detection.dataandapis.com/v1/detect';
const { data } = await axios.get(url, {
  headers: { 'X-Api-Key': 'YOUR_API_KEY' }
});