Grounding DINOFastHigh

Grounding DINO

Text-prompted object detection (39M+ runs) — describe what to find in natural language ('red car, person wearing a hat') and get bounding boxes with confidence scores plus an annotated image.

2 credits

per image

Zero-shot detection from natural language

Bounding boxes + confidence scores (JSON)

Annotated visualization image

Adjustable box/text thresholds

Run it right now

Test this model instantly in the Console Playground — no code required

Use with AI Assistant

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llms.txtllms.txt ↗

Quick Start

curl -X POST "https://api.core.today/v1/predictions" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: cdt_your_api_key" \
  -d '{
  "model": "adirik/grounding-dino",
  "input": {
    "image": "https://example.com/shelf.jpg",
    "query": "soda can, water bottle, snack bag",
    "box_threshold": 0.3
  }
}'

Parameters

Parameter	Type	Required	Default	Description
`image`	string	No	-	Image to run detection on
`query`	string	No	-	Comma-separated things to detect, e.g. 'red car, person wearing a hat'
`box_threshold`	number	No	0.25	Confidence threshold for boxes (0-1)
`text_threshold`	number	No	0.25	Confidence threshold for text matching (0-1)
`show_visualisation`	boolean	No	true	Also return an annotated result image

How to Provide File Input

There are 3 ways to provide files for the image parameter:

Recommended

Direct Upload (Multipart)

Attach files directly to POST /v1/predictions/upload. No separate upload step needed.

curl -X POST "https://api.core.today/v1/predictions/upload" \
  -H "X-API-Key: cdt_your_api_key" \
  -F "model=adirik/grounding-dino" \
  -F 'input={"prompt":"your prompt here"}' \
  -F "file:image=@your_file.png"

Image URL

Pass a publicly accessible URL directly. You can also use file_url from the Storage API.

{
  "model": "adirik/grounding-dino",
  "input": {
    "prompt": "your prompt here",
    "image": "https://example.com/image.jpg"
  }
}

See the File Upload docs for more upload methods including Presigned URLs.

Common Parameters

Common parameters used when calling POST /v1/predictions.

Parameter	Type	Required	Default	Description
`model`	string	Yes	-	Model identifier
`input`	object	Yes	-	Object containing the model-specific parameters from the table above
`output_folder`	string	No	-	Folder path for output files (max 256 chars, '..' not allowed)
`webhook_url`	string	No	-	Webhook URL to call on completion
`is_public`	boolean	No	false	If true, output files are also available via permanent public URLs

Examples

Detect Products

Find specific items in a shelf photo

curl -X POST "https://api.core.today/v1/predictions" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: cdt_your_api_key" \
  -d '{
  "model": "adirik/grounding-dino",
  "input": {
    "image": "https://example.com/shelf.jpg",
    "query": "soda can, water bottle, snack bag",
    "box_threshold": 0.3
  }
}'