---
title: Getting Started with Datadog
description: Datadog, the leading service for cloud-scale monitoring.
breadcrumbs: Docs > Infrastructure > Datadog Resource Catalog
---

# aws_rekognition_project_version{% #aws_rekognition_project_version %}

## `account_id`{% #account_id %}

**Type**: `STRING`

## `base_model_version`{% #base_model_version %}

**Type**: `STRING`**Provider name**: `BaseModelVersion`**Description**: The base detection model version used to create the project version.

## `billable_training_time_in_seconds`{% #billable_training_time_in_seconds %}

**Type**: `INT64`**Provider name**: `BillableTrainingTimeInSeconds`**Description**: The duration, in seconds, that you were billed for a successful training of the model version. This value is only returned if the model version has been successfully trained.

## `creation_timestamp`{% #creation_timestamp %}

**Type**: `TIMESTAMP`**Provider name**: `CreationTimestamp`**Description**: The Unix datetime for the date and time that training started.

## `evaluation_result`{% #evaluation_result %}

**Type**: `STRUCT`**Provider name**: `EvaluationResult`**Description**: The training results. `EvaluationResult` is only returned if training is successful.

- `f1_score`**Type**: `FLOAT`**Provider name**: `F1Score`**Description**: The F1 score for the evaluation of all labels. The F1 score metric evaluates the overall precision and recall performance of the model as a single value. A higher value indicates better precision and recall performance. A lower score indicates that precision, recall, or both are performing poorly.
- `summary`**Type**: `STRUCT`**Provider name**: `Summary`**Description**: The S3 bucket that contains the training summary.
  - `s3_object`**Type**: `STRUCT`**Provider name**: `S3Object`
    - `bucket`**Type**: `STRING`**Provider name**: `Bucket`**Description**: Name of the S3 bucket.
    - `name`**Type**: `STRING`**Provider name**: `Name`**Description**: S3 object key name.
    - `version`**Type**: `STRING`**Provider name**: `Version`**Description**: If the bucket is versioning enabled, you can specify the object version.

## `feature`{% #feature %}

**Type**: `STRING`**Provider name**: `Feature`**Description**: The feature that was customized.

## `feature_config`{% #feature_config %}

**Type**: `STRUCT`**Provider name**: `FeatureConfig`**Description**: Feature specific configuration that was applied during training.

- `content_moderation`**Type**: `STRUCT`**Provider name**: `ContentModeration`**Description**: Configuration options for Custom Moderation training.
  - `confidence_threshold`**Type**: `FLOAT`**Provider name**: `ConfidenceThreshold`**Description**: The confidence level you plan to use to identify if unsafe content is present during inference.

## `kms_key_id`{% #kms_key_id %}

**Type**: `STRING`**Provider name**: `KmsKeyId`**Description**: The identifer for the AWS Key Management Service key (AWS KMS key) that was used to encrypt the model during training.

## `manifest_summary`{% #manifest_summary %}

**Type**: `STRUCT`**Provider name**: `ManifestSummary`**Description**: The location of the summary manifest. The summary manifest provides aggregate data validation results for the training and test datasets.

- `s3_object`**Type**: `STRUCT`**Provider name**: `S3Object`
  - `bucket`**Type**: `STRING`**Provider name**: `Bucket`**Description**: Name of the S3 bucket.
  - `name`**Type**: `STRING`**Provider name**: `Name`**Description**: S3 object key name.
  - `version`**Type**: `STRING`**Provider name**: `Version`**Description**: If the bucket is versioning enabled, you can specify the object version.

## `max_inference_units`{% #max_inference_units %}

**Type**: `INT32`**Provider name**: `MaxInferenceUnits`**Description**: The maximum number of inference units Amazon Rekognition uses to auto-scale the model. Applies only to Custom Labels projects. For more information, see StartProjectVersion.

## `min_inference_units`{% #min_inference_units %}

**Type**: `INT32`**Provider name**: `MinInferenceUnits`**Description**: The minimum number of inference units used by the model. Applies only to Custom Labels projects. For more information, see StartProjectVersion.

## `output_config`{% #output_config %}

**Type**: `STRUCT`**Provider name**: `OutputConfig`**Description**: The location where training results are saved.

- `s3_bucket`**Type**: `STRING`**Provider name**: `S3Bucket`**Description**: The S3 bucket where training output is placed.
- `s3_key_prefix`**Type**: `STRING`**Provider name**: `S3KeyPrefix`**Description**: The prefix applied to the training output files.

## `project_version_arn`{% #project_version_arn %}

**Type**: `STRING`**Provider name**: `ProjectVersionArn`**Description**: The Amazon Resource Name (ARN) of the project version.

## `source_project_version_arn`{% #source_project_version_arn %}

**Type**: `STRING`**Provider name**: `SourceProjectVersionArn`**Description**: If the model version was copied from a different project, `SourceProjectVersionArn` contains the ARN of the source model version.

## `status`{% #status %}

**Type**: `STRING`**Provider name**: `Status`**Description**: The current status of the model version.

## `status_message`{% #status_message %}

**Type**: `STRING`**Provider name**: `StatusMessage`**Description**: A descriptive message for an error or warning that occurred.

## `tags`{% #tags %}

**Type**: `UNORDERED_LIST_STRING`

## `testing_data_result`{% #testing_data_result %}

**Type**: `STRUCT`**Provider name**: `TestingDataResult`**Description**: Contains information about the testing results.

- `input`**Type**: `STRUCT`**Provider name**: `Input`**Description**: The testing dataset that was supplied for training.
  - `assets`**Type**: `UNORDERED_LIST_STRUCT`**Provider name**: `Assets`**Description**: The assets used for testing.
    - `ground_truth_manifest`**Type**: `STRUCT`**Provider name**: `GroundTruthManifest`
      - `s3_object`**Type**: `STRUCT`**Provider name**: `S3Object`
        - `bucket`**Type**: `STRING`**Provider name**: `Bucket`**Description**: Name of the S3 bucket.
        - `name`**Type**: `STRING`**Provider name**: `Name`**Description**: S3 object key name.
        - `version`**Type**: `STRING`**Provider name**: `Version`**Description**: If the bucket is versioning enabled, you can specify the object version.
  - `auto_create`**Type**: `BOOLEAN`**Provider name**: `AutoCreate`**Description**: If specified, Rekognition splits training dataset to create a test dataset for the training job.
- `output`**Type**: `STRUCT`**Provider name**: `Output`**Description**: The subset of the dataset that was actually tested. Some images (assets) might not be tested due to file formatting and other issues.
  - `assets`**Type**: `UNORDERED_LIST_STRUCT`**Provider name**: `Assets`**Description**: The assets used for testing.
    - `ground_truth_manifest`**Type**: `STRUCT`**Provider name**: `GroundTruthManifest`
      - `s3_object`**Type**: `STRUCT`**Provider name**: `S3Object`
        - `bucket`**Type**: `STRING`**Provider name**: `Bucket`**Description**: Name of the S3 bucket.
        - `name`**Type**: `STRING`**Provider name**: `Name`**Description**: S3 object key name.
        - `version`**Type**: `STRING`**Provider name**: `Version`**Description**: If the bucket is versioning enabled, you can specify the object version.
  - `auto_create`**Type**: `BOOLEAN`**Provider name**: `AutoCreate`**Description**: If specified, Rekognition splits training dataset to create a test dataset for the training job.
- `validation`**Type**: `STRUCT`**Provider name**: `Validation`**Description**: The location of the data validation manifest. The data validation manifest is created for the test dataset during model training.
  - `assets`**Type**: `UNORDERED_LIST_STRUCT`**Provider name**: `Assets`**Description**: The assets that comprise the validation data.
    - `ground_truth_manifest`**Type**: `STRUCT`**Provider name**: `GroundTruthManifest`
      - `s3_object`**Type**: `STRUCT`**Provider name**: `S3Object`
        - `bucket`**Type**: `STRING`**Provider name**: `Bucket`**Description**: Name of the S3 bucket.
        - `name`**Type**: `STRING`**Provider name**: `Name`**Description**: S3 object key name.
        - `version`**Type**: `STRING`**Provider name**: `Version`**Description**: If the bucket is versioning enabled, you can specify the object version.

## `training_data_result`{% #training_data_result %}

**Type**: `STRUCT`**Provider name**: `TrainingDataResult`**Description**: Contains information about the training results.

- `input`**Type**: `STRUCT`**Provider name**: `Input`**Description**: The training data that you supplied.
  - `assets`**Type**: `UNORDERED_LIST_STRUCT`**Provider name**: `Assets`**Description**: A manifest file that contains references to the training images and ground-truth annotations.
    - `ground_truth_manifest`**Type**: `STRUCT`**Provider name**: `GroundTruthManifest`
      - `s3_object`**Type**: `STRUCT`**Provider name**: `S3Object`
        - `bucket`**Type**: `STRING`**Provider name**: `Bucket`**Description**: Name of the S3 bucket.
        - `name`**Type**: `STRING`**Provider name**: `Name`**Description**: S3 object key name.
        - `version`**Type**: `STRING`**Provider name**: `Version`**Description**: If the bucket is versioning enabled, you can specify the object version.
- `output`**Type**: `STRUCT`**Provider name**: `Output`**Description**: Reference to images (assets) that were actually used during training with trained model predictions.
  - `assets`**Type**: `UNORDERED_LIST_STRUCT`**Provider name**: `Assets`**Description**: A manifest file that contains references to the training images and ground-truth annotations.
    - `ground_truth_manifest`**Type**: `STRUCT`**Provider name**: `GroundTruthManifest`
      - `s3_object`**Type**: `STRUCT`**Provider name**: `S3Object`
        - `bucket`**Type**: `STRING`**Provider name**: `Bucket`**Description**: Name of the S3 bucket.
        - `name`**Type**: `STRING`**Provider name**: `Name`**Description**: S3 object key name.
        - `version`**Type**: `STRING`**Provider name**: `Version`**Description**: If the bucket is versioning enabled, you can specify the object version.
- `validation`**Type**: `STRUCT`**Provider name**: `Validation`**Description**: A manifest that you supplied for training, with validation results for each line.
  - `assets`**Type**: `UNORDERED_LIST_STRUCT`**Provider name**: `Assets`**Description**: The assets that comprise the validation data.
    - `ground_truth_manifest`**Type**: `STRUCT`**Provider name**: `GroundTruthManifest`
      - `s3_object`**Type**: `STRUCT`**Provider name**: `S3Object`
        - `bucket`**Type**: `STRING`**Provider name**: `Bucket`**Description**: Name of the S3 bucket.
        - `name`**Type**: `STRING`**Provider name**: `Name`**Description**: S3 object key name.
        - `version`**Type**: `STRING`**Provider name**: `Version`**Description**: If the bucket is versioning enabled, you can specify the object version.

## `training_end_timestamp`{% #training_end_timestamp %}

**Type**: `TIMESTAMP`**Provider name**: `TrainingEndTimestamp`**Description**: The Unix date and time that training of the model ended.

## `version_description`{% #version_description %}

**Type**: `STRING`**Provider name**: `VersionDescription`**Description**: A user-provided description of the project version.