The mean average precision of the trained model. Note: Numbers greater than Number.MAX_SAFE_INTEGER will result in rounding issues.
The compartment identifier.
The intersection over the union threshold used for calculating precision and recall. Note: Numbers greater than Number.MAX_SAFE_INTEGER will result in rounding issues.
Defined tags for this resource. Each key is predefined and scoped to a namespace. For example: {@code {"foo-namespace": {"bar-key": "value"}}}
An optional description of the model.
A human-friendly name for the model, which can be changed.
A simple key-value pair that is applied without any predefined name, type, or scope. It exists for cross-compatibility only. For example: {@code {"bar-key": "value"}}
A unique identifier that is immutable after creation.
Set to true when experimenting with a new model type or dataset, so model training is quick, with a predefined low number of passes through the training data.
A message describing the current state in more detail, that can provide actionable information if training failed.
The current state of the model.
The maximum model training duration in hours, expressed as a decimal fraction. Note: Numbers greater than Number.MAX_SAFE_INTEGER will result in rounding issues.
The complete set of per-label metrics for successfully trained models.
What type of Vision model this is.
The version of the model.
The precision of the trained model. Note: Numbers greater than Number.MAX_SAFE_INTEGER will result in rounding issues.
The OCID of the project that contains the model.
Recall of the trained model. Note: Numbers greater than Number.MAX_SAFE_INTEGER will result in rounding issues.
Usage of system tag keys. These predefined keys are scoped to namespaces. For example: {@code {"orcl-cloud": {"free-tier-retained": "true"}}}
The number of images set aside for evaluating model performance metrics after training. Note: Numbers greater than Number.MAX_SAFE_INTEGER will result in rounding issues.
When the model was created, as an RFC3339 datetime string.
When the model was updated, as an RFC3339 datetime string.
The number of images in the dataset used to train, validate, and test the model. Note: Numbers greater than Number.MAX_SAFE_INTEGER will result in rounding issues.
The total hours actually used for model training. Note: Numbers greater than Number.MAX_SAFE_INTEGER will result in rounding issues.
Machine-learned Model.