Try Gemini 1.5 models, the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window. Try Gemini 1.5 models, the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window.

Method: projects.locations.dataLabelingJobs.get

Gets a DataLabelingJob.

Endpoint

get


                https://{service-endpoint}/v1/{name}

Where {service-endpoint} is one of the supported service endpoints.

Path parameters

name string

Required. The name of the DataLabelingJob. Format: projects/{project}/locations/{location}/dataLabelingJobs/{dataLabelingJob}

Request body

The request body must be empty.

Response body

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

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.

Last updated 2024-08-03 UTC.