Method: projects.locations.datasets.exportData

Exports dataset's data to the provided output location. Returns an empty response in the response field when it completes.

HTTP request

POST https://automl.googleapis.com/v1beta1/{name}:exportData

Path parameters

Parameters
name

string

Required. The resource name of the dataset.

Authorization requires the following Google IAM permission on the specified resource name:

  • automl.datasets.export

Request body

The request body contains data with the following structure:

JSON representation
{
  "outputConfig": {
    object(OutputConfig)
  }
}
Fields
outputConfig

object(OutputConfig)

Required. The desired output location.

Response body

If successful, the response body contains an instance of Operation.

Authorization Scopes

Requires the following OAuth scope:

  • https://www.googleapis.com/auth/cloud-platform

For more information, see the Authentication Overview.

OutputConfig

Output configuration for datasets.exportData.

AutoML Video Intelligence writes a CSV file named videoClassification.csv in the Google Cloud Storage bucket specified in gcsDestination.

The output file has the following fields:

ML_USE,GCS_FILE_PATH
  • ML_USE - Identifies the data set that the current row (file) applies to. This value can be one of the following:

    • TRAIN - Rows in this file are used to train the model.
    • TEST - Rows in this file are used to test the model during training.
    • UNASSIGNED - Rows in this file are not categorized. They are Automatically divided into train and test data. 80% for training and 20% for testing.
  • GCS_FILE_PATH - Identifies a file stored in Google Cloud Storage that contains the model training information. AutoML Video Intelligence writes this file to the Google Cloud Storage bucket specified in gcsDestination.

Each CSV file identified with a GCS_FILE_PATH value has the following format:

GCS_FILE_PATH,LABEL,TIME_SEGMENT_START,TIME_SEGMENT_END
  • GCS_FILE_PATH - The path to the original, imported video stored in Google Cloud Storage.

  • LABEL - The label that identifies the object of the imported video segment.

  • TIME_SEGMENT_START and TIME_SEGMENT_END - The start and end timestamps in seconds for the segment of video to be annotated. The values must be within the length of the video, and TIME_SEGMENT_END must be after the TIME_SEGMENT_START.

JSON representation
{
  "gcsDestination": {
    object(GcsDestination)
  }
}
Fields
gcsDestination

object(GcsDestination)

The Google Cloud Storage location where the output from the predict command is to be written to. Does not apply for this product.

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