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General info
| Method | POST /IP address:port/<api_ver>/inference/image |
| Description | The query is used to perform inference (classification check) on an image using a trained neural model. The query accepts an image (in the format: .jpeg, .jpg, .png, or .webp) |
Sample request
POST http://localhost:5000/v1.3/inference/image
{
"task_id": "6407bfd7144f37e141b786e2acf4faf2822cc48f296f5047e58c9e536874f4ec",
"image_url": "https://example.com/images/lion.jpg"
}
where:
| Parameter | Description |
|---|---|
| task_id | A unique identifier of the task (uid), which can be obtained using a task list query (see Get the list of tasks) |
| image_url | Link to an image |
Sample response
{
"message": "Done",
"probabilities": {
"AFRICAN_LEOPARD": 0,
"CARACAL": 0,
"LIONS": 100
}
}
Response in case of error:
{ "error": "error description" }