Reference documentation and code samples for the Cloud AutoML V1 Client class ImageObjectDetectionEvaluationMetrics.
Model evaluation metrics for image object detection problems.
Evaluates prediction quality of labeled bounding boxes.
Generated from protobuf message google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics
Methods
__construct
Constructor.
| Parameters | |
|---|---|
| Name | Description |
data |
array
Optional. Data for populating the Message object. |
↳ evaluated_bounding_box_count |
int
Output only. The total number of bounding boxes (i.e. summed over all images) the ground truth used to create this evaluation had. |
↳ bounding_box_metrics_entries |
array<Google\Cloud\AutoMl\V1\BoundingBoxMetricsEntry>
Output only. The bounding boxes match metrics for each Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 pair. |
↳ bounding_box_mean_average_precision |
float
Output only. The single metric for bounding boxes evaluation: the mean_average_precision averaged over all bounding_box_metrics_entries. |
getEvaluatedBoundingBoxCount
Output only. The total number of bounding boxes (i.e. summed over all images) the ground truth used to create this evaluation had.
| Returns | |
|---|---|
| Type | Description |
int | |
setEvaluatedBoundingBoxCount
Output only. The total number of bounding boxes (i.e. summed over all images) the ground truth used to create this evaluation had.
| Parameter | |
|---|---|
| Name | Description |
var |
int
|
| Returns | |
|---|---|
| Type | Description |
$this | |
getBoundingBoxMetricsEntries
Output only. The bounding boxes match metrics for each Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 pair.
| Returns | |
|---|---|
| Type | Description |
Google\Protobuf\Internal\RepeatedField | |
setBoundingBoxMetricsEntries
Output only. The bounding boxes match metrics for each Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 pair.
| Parameter | |
|---|---|
| Name | Description |
var |
array<Google\Cloud\AutoMl\V1\BoundingBoxMetricsEntry>
|
| Returns | |
|---|---|
| Type | Description |
$this | |
getBoundingBoxMeanAveragePrecision
Output only. The single metric for bounding boxes evaluation: the mean_average_precision averaged over all bounding_box_metrics_entries.
| Returns | |
|---|---|
| Type | Description |
float | |
setBoundingBoxMeanAveragePrecision
Output only. The single metric for bounding boxes evaluation: the mean_average_precision averaged over all bounding_box_metrics_entries.
| Parameter | |
|---|---|
| Name | Description |
var |
float
|
| Returns | |
|---|---|
| Type | Description |
$this | |