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Simpan dan kategorikan konten berdasarkan preferensi Anda.
Kumpulan anotasi adalah kumpulan label yang Anda terapkan ke data set data
untuk pelatihan model. Kumpulan anotasi dikaitkan dengan jenis data dan objektif model
(misalnya, video/classification). Anda membuat kumpulan anotasi untuk
jenis data gambar, teks, dan video.
Saat Anda membuat set data di Vertex AI, jika file CSV atau
JSON Lines
yang diimpor berisi label, Vertex AI akan otomatis membuat kumpulan anotasi
dan menetapkan tujuan yang Anda pilih untuk set data tersebut. Misalnya, jika
Anda memilih Video sebagai jenis data dan Classification sebagai objektif,
kumpulan anotasi DATASET_NAME\_vcn akan dibuat, dengan "vcn"
adalah singkatan dari "video classification" (klasifikasi video).
Jika set data sudah dibuat dan Anda ingin menambahkan kumpulan anotasi atau
kumpulan anotasi tambahan, Anda dapat membuatnya di konsol Google Cloud seperti yang dijelaskan di bagian berikut.
Membuat kumpulan anotasi baru
Anda dapat membuat kumpulan anotasi baru untuk set data yang ada
hanya di konsolGoogle Cloud .
Di konsol Google Cloud , buka halaman Set Data Vertex AI.
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Sulit dipahami","hardToUnderstand","thumb-down"],["Informasi atau kode contoh salah","incorrectInformationOrSampleCode","thumb-down"],["Informasi/contoh yang saya butuhkan tidak ada","missingTheInformationSamplesINeed","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],["Terakhir diperbarui pada 2025-09-04 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)."]]