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New HUB Cloud Training docs page (#8174)

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Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Priytosh Tripathi 2024-02-14 00:22:28 +05:30 • committed by GitHub
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docs/en/hub/inference-api.md
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@ -8,7 +8,7 @@ keywords: Ultralytics, YOLOv8, Inference API, object detection, RESTful API, Pyt
The YOLO Inference API allows you to access the YOLOv8 object detection capabilities via a RESTful API. This enables you to run object detection on images without the need to install and set up the YOLOv8 environment locally.
![Inference API Screenshot](https://github.com/ultralytics/ultralytics/assets/26833433/c0109ec0-7bb0-46e1-b0d2-bae687960a01) Screenshot of the Inference API section in the trained model Preview tab.
![Inference API Screenshot](https://github.com/ultralytics/ultralytics/assets/19519529/a8c00e55-1590-403b-bdee-ed456c60af4d) Screenshot of the Inference API section in the trained model Preview tab.
## API URL
@ -88,7 +88,7 @@ In this example, the `data` dictionary contains the query arguments `size`, `con
This will send the query parameters along with the file in the POST request. See the table below for a full list of available inference arguments.
| Inference Argument | Default | Type | Notes |
|--------------------|---------|---------|------------------------------------------------|
| ------------------ | ------- | ------- | ---------------------------------------------- |
| `size` | `640` | `int` | valid range is `32` - `1280` pixels |
| `confidence` | `0.25` | `float` | valid range is `0.01` - `1.0` |
| `iou` | `0.45` | `float` | valid range is `0.0` - `0.95` |