> ## Documentation Index
> Fetch the complete documentation index at: https://docs.edgeimpulse.com/llms.txt
> Use this file to discover all available pages before exploring further.

# edgeimpulse_api.models.deploy_pretrained_model_model_object_detection

## Classes

### DeployPretrainedModelModelObjectDetection

```python theme={"system"}
edgeimpulse_api.models.deploy_pretrained_model_model_object_detection.DeployPretrainedModelModelObjectDetection(
	**data: Any
)
```

Create a new model by parsing and validating input data from keyword arguments.

Raises ValidationError if the input data cannot be parsed to form a valid model.

| Parameters |       |
| ---------- | ----- |
| `**data`   | `Any` |

| Bases                              |
| ---------------------------------- |
| `pydantic.v1.main.BaseModel`       |
| `pydantic.v1.utils.Representation` |

| Class variables      |                                                                               |
| -------------------- | ----------------------------------------------------------------------------- |
| `Config`             | ` `                                                                           |
| `labels`             | `List[pydantic.v1.types.StrictStr]`                                           |
| `last_layer`         | `edgeimpulse_api.models.object_detection_last_layer.ObjectDetectionLastLayer` |
| `minimum_confidence` | `float`                                                                       |
| `model_type`         | `pydantic.v1.types.StrictStr`                                                 |
| `threshold_values`   | `Dict[str, float] \| None`                                                    |

***

**STATIC METHODS**

#### from\_dict

```python theme={"system"}
edgeimpulse_api.models.deploy_pretrained_model_model_object_detection.DeployPretrainedModelModelObjectDetection.from_dict(
	obj: dict
) ‑> edgeimpulse_api.models.deploy_pretrained_model_model_object_detection.DeployPretrainedModelModelObjectDetection
```

Create an instance of DeployPretrainedModelModelObjectDetection from a dict

| Parameters |        |
| ---------- | ------ |
| `obj`      | `dict` |

| Returns                                                                                                           |
| ----------------------------------------------------------------------------------------------------------------- |
| `edgeimpulse_api.models.deploy_pretrained_model_model_object_detection.DeployPretrainedModelModelObjectDetection` |

#### from\_json

```python theme={"system"}
edgeimpulse_api.models.deploy_pretrained_model_model_object_detection.DeployPretrainedModelModelObjectDetection.from_json(
	json_str: str
) ‑> edgeimpulse_api.models.deploy_pretrained_model_model_object_detection.DeployPretrainedModelModelObjectDetection
```

Create an instance of DeployPretrainedModelModelObjectDetection from a JSON string

| Parameters |       |
| ---------- | ----- |
| `json_str` | `str` |

| Returns                                                                                                           |
| ----------------------------------------------------------------------------------------------------------------- |
| `edgeimpulse_api.models.deploy_pretrained_model_model_object_detection.DeployPretrainedModelModelObjectDetection` |

#### model\_type\_validate\_enum

```python theme={"system"}
edgeimpulse_api.models.deploy_pretrained_model_model_object_detection.DeployPretrainedModelModelObjectDetection.model_type_validate_enum(
	v
)
```

| Parameters |     |
| ---------- | --- |
| `v`        | ` ` |

***

**METHODS**

#### to\_dict

```python theme={"system"}
edgeimpulse_api.models.deploy_pretrained_model_model_object_detection.DeployPretrainedModelModelObjectDetection.to_dict(
	self
)
```

Returns the dictionary representation of the model using alias

| Parameters |     |
| ---------- | --- |
| `self`     | ` ` |

#### to\_json

```python theme={"system"}
edgeimpulse_api.models.deploy_pretrained_model_model_object_detection.DeployPretrainedModelModelObjectDetection.to_json(
	self,
	indent=None
) ‑> str
```

Returns the JSON representation of the model using alias

| Parameters    |     |
| ------------- | --- |
| `self`        | ` ` |
| `indent=None` | ` ` |

| Returns |
| ------- |
| `str`   |

#### to\_str

```python theme={"system"}
edgeimpulse_api.models.deploy_pretrained_model_model_object_detection.DeployPretrainedModelModelObjectDetection.to_str(
	self
) ‑> str
```

Returns the string representation of the model using alias

| Parameters |     |
| ---------- | --- |
| `self`     | ` ` |

| Returns |
| ------- |
| `str`   |