csviverdeia/retail-shelf-products-yolov8
Detecção de espaços vazios vs produtos em prateleiras (YOLOv8 binary)
Run csviverdeia/retail-shelf-products-yolov8 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
|
Foto de prateleira (jpg/png).
|
|
| conf_threshold |
number
|
0.25
Max: 1 |
None
|
| iou_threshold |
number
|
0.45
Max: 1 |
None
|
| image_size |
integer
|
640
Min: 320 Max: 1280 |
Resolução de inferência (múltiplo de 32).
|
| max_detections |
integer
|
300
Min: 1 Max: 2000 |
None
|
{
"type": "object",
"title": "Input",
"required": [
"image"
],
"properties": {
"image": {
"type": "string",
"title": "Image",
"format": "uri",
"x-order": 0,
"description": "Foto de prateleira (jpg/png)."
},
"image_size": {
"type": "integer",
"title": "Image Size",
"default": 640,
"maximum": 1280,
"minimum": 320,
"x-order": 3,
"description": "Resolu\u00e7\u00e3o de infer\u00eancia (m\u00faltiplo de 32)."
},
"iou_threshold": {
"type": "number",
"title": "Iou Threshold",
"default": 0.45,
"maximum": 1,
"minimum": 0,
"x-order": 2
},
"conf_threshold": {
"type": "number",
"title": "Conf Threshold",
"default": 0.25,
"maximum": 1,
"minimum": 0,
"x-order": 1
},
"max_detections": {
"type": "integer",
"title": "Max Detections",
"default": 300,
"maximum": 2000,
"minimum": 1,
"x-order": 4
}
}
}
Output schema
The shape of the response you’ll get when you run this model with an API.
{
"type": "object",
"title": "Output"
}