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aws_rekognition_project_version
account_id
Type: STRING
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
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
Type: TIMESTAMP
Provider name: CreationTimestamp
Description: The Unix datetime for the date and time that training started.
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
Type: STRING
Provider name: Feature
Description: The feature that was customized.
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
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
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
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
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
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
Type: STRING
Provider name: ProjectVersionArn
Description: The Amazon Resource Name (ARN) of the project version.
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
Type: STRING
Provider name: Status
Description: The current status of the model version.
status_message
Type: STRING
Provider name: StatusMessage
Description: A descriptive message for an error or warning that occurred.
Type: UNORDERED_LIST_STRING
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
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
Type: TIMESTAMP
Provider name: TrainingEndTimestamp
Description: The Unix date and time that training of the model ended.
version_description
Type: STRING
Provider name: VersionDescription
Description: A user-provided description of the project version.