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

# ObjectDetectionColumnNames

<img className="inline m-0" src="https://storage.googleapis.com/arize-phoenix-assets/assets/images/arize-docs-images/9e9834e4-image.jpeg" />[View source on GitHub](https://github.com/Arize-ai/client_python/blob/main/src/arize/utils/types.py#L225)

Arize class to map up to 3 columns (`bounding_boxes_coordinates_column_name`, `categories_column_name`, and `scores_column_name`) to a single object detection prediction or actual column.

```python theme={"theme":{"light":"github-light-default","dark":"github-dark-default"}}
class ObjectDetectionColumnNames(
    bounding_boxes_coordinates_column_name: str
    categories_column_name: str
    scores_column_name: Optional[str] = None
)
```

| Parameters | Data Type | Expected Type In Column | Description |
| - | - | - | - |
| `bounding_boxes_coordinates_column_name` | str | The contents of this column must be List\[List\[float]] | (Required) Column name containing the coordinates of the rectangular outline that locates an object within an image or video. Pascal VOC format required. |
| `categories_column_name` | str | The contents of this column must be List\[str] | (Required) Column name containing the predefined classes or labels used by the model to classify the detected objects. |
| `scores_column_name` | str | The contents of this column must be List\[float] | (Optional\*) Column name containing the confidence scores that the model assigns to its predictions, indicating how certain the model is that the predicted class is contained within the bounding box. \* This parameter is not applicable to actual (ground truth) labels and is only applicable when defining `object_detection_prediction_column_names` |

### Code Example

| Index | prediction\_bboxes | actual\_bboxes | prediction\_categories | actual\_categories | prediction\_scores |
| - | - | - | - | - | - |
| `0` | `[[50.43, 109.49, 538.21...` | `[[55.39, 107.72, 539.25, 362.9], [554.41, 194....` | `[bus]` | `[bus, person, person]` | `[0.9997552]` |

```javascript theme={"theme":{"light":"github-light-default","dark":"github-dark-default"}}
object_detection_prediction_column_names = ObjectDetectionColumnNames(
  (bounding_boxes_coordinates_column_name = "prediction_bboxes"),
  (categories_column_name = "prediction_categories"),
  (scores_column_name = "prediction_scores")
);
object_detection_actual_column_names = ObjectDetectionColumnNames(
  (bounding_boxes_coordinates_column_name = "actual_bboxes"),
  (categories_column_name = "actual_categories")
);
```