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MoonDreamNext Detection

Integrate

Model id moondream-next/detection
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.ru/v1/run/moondream-next/detection?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "task_type": "bbox_detection",
    "detection_prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }'

# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"

This request: ≈$0.002 2 API credits · ≈ ₽0.21 Run it on this page

Get API key
Moondream Image Editing #multimodal

Runs bounding-box, point or gaze detection on an image and draws the result

Moondream · Image

Your first result goes here

Build a request below and run it with your API key. Outputs are copied to our storage, kept forever or 7 days for free.

Build a request

Controls are generated from the model schema. The code and the price update as you change them.

•required

Text describing the target to detect.

•required image_url
Drop a file, or

URL identifying the image for processing.

task_type •required

Detection task to run.

Advanced use_ensemble · combine_points · show_visualization
POST /run/moondream-next/detection?wait=20 quote → $0.002
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.ru/v1/run/moondream-next/detection?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "task_type": "bbox_detection",
    "detection_prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }'

# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"

Run this request

Your key stays in this browser: it is sent only to the Doitong API and saved (localStorage) only if you tick Remember. Get an API key

About MoonDreamNext Detection

Choose `task_type` as bbox_detection, point_detection or gaze_detection, and describe the target in `detection_prompt`. Options include `use_ensemble` for gaze detection and `combine_points` for point detection. It returns an image with the visualization (toggle with `show_visualization`) and the results as text.

Parameters

Send either the canonical name or the native name, not both. Canonical names

NameType DefaultAllowed Description
image_urlrequired image
Typeurl · image
URL identifying the image for processing.
task_typerequired
Typeenum
bbox_detectionpoint_detectiongaze_detection
Detection task to run.
detection_promptrequired
Typestring
Text describing the target to detect.
use_ensembleoptional
Typeboolean
Defaultfalse
Controls ensemble use for gaze detection.
combine_pointsoptional
Typeboolean
Defaultfalse
Whether point detection merges the detected points into one point. The setting does not affect bbox or gaze detection.
show_visualizationoptional
Typeboolean
Defaulttrue
Controls whether detection results are visualized.
required Canonical name, also accepted

File parameters take a public https:// URL, a data: URI up to 10 MB, or the file_url of an upload. Files

Output

GET /requests/req_8k2m4q7x1z9c3v5b6n0p2r4t
{
  "id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
  "object": "request",
  "model": "moondream-next/detection",
  "status": "succeeded",
  "created_at": "2026-10-20T12:00:00Z",
  "started_at": "2026-10-20T12:00:02Z",
  "completed_at": "2026-10-20T12:00:09Z",
  "queue_position": null,
  "cost": {
    "credits": 2,
    "usd": "0.002",
    "charged": 2,
    "refunded": 0
  },
  "input": {
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "task_type": "bbox_detection",
    "detection_prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  },
  "output": {
    "image": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_name": "0-output.jpeg",
      "file_size": 1843200,
      "width": 1024,
      "height": 768
    },
    "text_output": "string"
  },
  "outputs": [
    {
      "type": "image",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_size": 1843200,
      "width": 1024,
      "height": 768,
      "stored": true
    }
  ],
  "error": null,
  "metrics": {
    "inference_seconds": 6.8
  },
  "urls": {
    "self": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
Your files, your choiceEvery outputs[].url is a copy on our storage: kept forever (paid per GB-month) or 7 days for free, by your account setting or ?storage=.
Same shape on every modeltype, url, content_type, width, height and duration, for images, video and audio alike. output is the model’s own result object.
Fields of output
image
object {url, content_type, file_name, file_size, width, height} | nullOutput image displaying the detection results.
text_output
stringText representation of detection results.

More models: Image Editing

For AI agents: this page as Markdown is at https://doitong.com/en-US/developers/models/moondream-next/detection.md. All models and guides: https://doitong.com/developers/llms.txt