csviverdeia/revela-face
Revela — deteccao de rostos + embeddings ArcFace 512-d (InsightFace buffalo_l). Usado pela plataforma Revela (Viver de IA).
Public
17
runs
Run csviverdeia/revela-face 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
|
Uma imagem (ex: selfie)
|
|
| images_json |
string
|
|
Lote: JSON [{"id","url"}, ...] para processar várias fotos
|
| min_det_score |
number
|
0.5
Max: 1 |
None
|
{
"type": "object",
"title": "Input",
"properties": {
"image": {
"type": "string",
"title": "Image",
"format": "uri",
"x-order": 0,
"description": "Uma imagem (ex: selfie)"
},
"images_json": {
"type": "string",
"title": "Images Json",
"default": "",
"x-order": 1,
"description": "Lote: JSON [{\"id\",\"url\"}, ...] para processar v\u00e1rias fotos"
},
"min_det_score": {
"type": "number",
"title": "Min Det Score",
"default": 0.5,
"maximum": 1,
"minimum": 0,
"x-order": 2
}
}
}
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{
"type": "string",
"title": "Output"
}