This legacy version of AutoML Video Intelligence is deprecated and will no longer be available on Google Cloud after January 23, 2024. All the functionality of legacy AutoML Video Intelligence and new features are available on the Vertex AI platform. See Migrate to Vertex AI to learn how to migrate your resources.

REST Resource: projects.locations.datasets

Resource: Dataset

A workspace for solving a single, particular machine learning (ML) problem. A workspace contains examples that may be annotated.

JSON representation 
{
  "name": string,
  "displayName": string,
  "exampleCount": number,
  "createTime": string,
  "videoClassificationDatasetMetadata": {
    object(VideoClassificationDatasetMetadata)
  }
}
Fields
name

string

Output only. The resource name of the dataset. Form: projects/{project_id}/locations/{locationId}/datasets/{datasetId}

displayName

string

Required. The name of the dataset to show in the interface. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores (_), and ASCII digits 0-9.

exampleCount

number

Output only. The number of examples in the dataset.

createTime

string (Timestamp format)

Output only. Timestamp when this dataset was created.

A timestamp in RFC3339 UTC "Zulu" format, accurate to nanoseconds. Example: "2014-10-02T15:01:23.045123456Z".
videoClassificationDatasetMetadata

object(VideoClassificationDatasetMetadata)

Metadata for a dataset used for video classification.

VideoClassificationDatasetMetadata

Dataset metadata specific to video classification. All Video Classification datasets are treated as multi label.

Methods

create

 Creates a dataset.

delete

 Deletes a dataset and all of its contents.

exportData

 Exports dataset's data to the provided output location.

get

 Gets a dataset.

getIamPolicy

 Gets the access control policy for a resource.

importData

 Imports data into a dataset.

list

 Lists datasets in a project.

setIamPolicy

 Sets the access control policy on the specified resource.