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An annotation set is a set of labels that you apply to the data of a dataset
for model training. Annotation sets are associated with a data type and model
objective (for example, video/classification). You create annotation sets for
image, text, and video data types.
When you create a dataset in Vertex AI, if the imported CSV or
JSON Lines
file contains labels, Vertex AI automatically creates an annotation set
and assigns it the objective that you selected for the dataset. For example, if
you select Video as the data type and Classification as the objective, the
annotation set DATASET_NAME\_vcn is created, where "vcn"
stands for "video classification."
If the dataset is already created and you want to add an annotation set or
additional annotation sets, you can create them in the Google Cloud console as
detailed in the following section.
Create a new annotation set
You can create a new annotation set for an existing dataset in the
Google Cloud console only.
In the Google Cloud console, go to the Vertex AI Datasets page.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-25 UTC."],[],[],null,["# Create an annotation set\n\nAn *annotation set* is a set of labels that you apply to the data of a dataset\nfor model training. Annotation sets are associated with a data type and model\nobjective (for example, `video/classification`). You create annotation sets for\nimage, text, and video data types.\n\nTo learn how to apply the labels of your annotation set to your dataset's data,\nsee\n[Label using the Google Cloud console](/vertex-ai/docs/datasets/label-using-console).\n\nHow to create an annotation set\n-------------------------------\n\nWhen you create a dataset in Vertex AI, if the imported CSV or\n[JSON Lines](https://jsonlines.org/)\nfile contains labels, Vertex AI automatically creates an annotation set\nand assigns it the objective that you selected for the dataset. For example, if\nyou select *Video* as the data type and *Classification* as the objective, the\nannotation set \u003cvar translate=\"no\"\u003eDATASET_NAME\u003c/var\u003e`\\_vcn` is created, where \"vcn\"\nstands for \"video classification.\"\n\nIf the dataset is already created and you want to add an annotation set or\nadditional annotation sets, you can create them in the Google Cloud console as\ndetailed in the following section.\n\nCreate a new annotation set\n---------------------------\n\nYou can create a new annotation set for an existing dataset in the\nGoogle Cloud console only.\n\n1. In the Google Cloud console, go to the Vertex AI **Datasets** page.\n\n [Go to Datasets](https://console.cloud.google.com/vertex-ai/datasets)\n2. Click the dataset that you want to create an annotation set for.\n\n The dataset appears.\n\n3. In the selector box next to the name of your dataset, select\n **Create annotation set**.\n\n4. In the **Create annotation set** pane, enter a name for the annotation set.\n\n5. Select the model objective.\n\n6. Click **Create**.\n\n The dataset view appears with your new annotation set displayed. You are now\n ready to apply the labels of your new annotation set to your data.\n\nWhat's next\n-----------\n\n- Edit, or add labels to your dataset [using the Google Cloud console](/vertex-ai/docs/datasets/label-using-console)."]]
