asyasyarif/object-counter
Public
12
runs
Run asyasyarif/object-counter with an API
Use one of our client libraries to get started quickly. Clicking on a library will take you to the Playground tab where you can tweak different inputs, see the results, and copy the corresponding code to use in your own project.
Input schema
The fields you can use to run this model with an API. If you don't give a value for a field its default value will be used.
| Field | Type | Default value | Description |
|---|---|---|---|
| image |
string
|
One JPEG, PNG, or WebP image (up to 20 MB and 20 megapixels)
|
|
| prompt |
string
|
Object categories, e.g. 'red helmet, forklift'
|
|
| output_zip |
boolean
|
False
|
Return one ZIP containing annotated.png and result.json
|
| confidence |
number
|
0.25
Min: 0.05 Max: 0.95 |
Minimum detection confidence
|
| image_size |
None
|
1280
|
Inference resolution; larger is not always more accurate
|
{
"type": "object",
"title": "Input",
"required": [
"image",
"prompt"
],
"properties": {
"image": {
"type": "string",
"title": "Image",
"format": "uri",
"x-order": 0,
"description": "One JPEG, PNG, or WebP image (up to 20 MB and 20 megapixels)"
},
"prompt": {
"type": "string",
"title": "Prompt",
"x-order": 1,
"maxLength": 256,
"minLength": 1,
"description": "Object categories, e.g. 'red helmet, forklift'"
},
"confidence": {
"type": "number",
"title": "Confidence",
"default": 0.25,
"maximum": 0.95,
"minimum": 0.05,
"x-order": 3,
"description": "Minimum detection confidence"
},
"image_size": {
"enum": [
640,
960,
1280
],
"type": "integer",
"title": "image_size",
"description": "Inference resolution; larger is not always more accurate",
"default": 1280,
"x-order": 4
},
"output_zip": {
"type": "boolean",
"title": "Output Zip",
"default": false,
"x-order": 2,
"description": "Return one ZIP containing annotated.png and result.json"
}
}
}
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{
"type": "string",
"title": "Output",
"format": "uri"
}