YOLOv8-16bit/docs/cli.md

If you want to train, validate or run inference on models and don't need to make any modifications to the code, using YOLO command line interface is the easiest way to get started.

!!! tip "Syntax"

```bash
yolo task=detect    mode=train    model=yolov8n.yaml      args...
          classify       predict        yolov8n-cls.yaml  args...
          segment        val            yolov8n-seg.yaml  args...
                         export         yolov8n.pt        format=onnx  args...
```

The default arguments can be overridden directly by passing custom arg=val covered in the next section. You can run any supported task by setting task and mode in CLI. === "Training"

|                  | `task`     | snippet                                                    |
|------------------|------------|------------------------------------------------------------|
| Detection        | `detect`   | <pre><code>yolo detect train       </code></pre> |
| Instance Segment | `segment`  | <pre><code>yolo segment train      </code></pre> |
| Classification   | `classify` | <pre><code>yolo classify train    </code></pre>  |

=== "Prediction"

|                  | `task`     | snippet                                                      |
|------------------|------------|--------------------------------------------------------------|
| Detection        | `detect`   | <pre><code>yolo detect predict       </code></pre> |
| Instance Segment | `segment`  | <pre><code>yolo segment predict     </code></pre>  |
| Classification   | `classify` | <pre><code>yolo classify predict    </code></pre>  |

=== "Validation"

|                  | `task`     | snippet                                                   |
|------------------|------------|-----------------------------------------------------------|
| Detection        | `detect`   | <pre><code>yolo detect val        </code></pre> |
| Instance Segment | `segment`  | <pre><code>yolo segment val       </code></pre> |
| Classification   | `classify` | <pre><code>yolo classify val      </code></pre> |

!!! note ""

<b>Note:</b> The arguments don't require `'--'` prefix. These are reserved for special commands covered later

---

Overriding default config arguments

Default arguments can be overriden by simply passing them as arguments in the CLI.

!!! tip ""

=== "Syntax"
    ```bash
    yolo task mode arg=val...
    ```

=== "Example"
    Perform detection training for `10 epochs` with `learning_rate` of `0.01`
    ```bash
    yolo detect train epochs=10 lr0=0.01
    ```

---

Overriding default config file

You can override config file entirely by passing a new file. You can create a copy of default config file in your current working dir as follows:

yolo copy-config

You can then use cfg=default_copy.yaml command to pass the new config file along with any addition args:

yolo cfg=default_copy.yaml args...

??? example

=== "Command"
    ```bash
    yolo copy-config
    yolo cfg=default_copy.yaml args...
    ```