Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Bersihkan resource Google Cloud yang Anda buat untuk melatih model klasifikasi gambar dan mendapatkan prediksi dari model tersebut. Ikuti langkah-langkah berikut untuk menghindari biaya tidak terduga dari beberapa resource.
Setiap halaman mengasumsikan bahwa Anda telah menjalankan petunjuk dari halaman sebelumnya dalam tutorial ini.
Menghapus resource Vertex AI
Bagian ini menjelaskan cara membatalkan deployment model, lalu menghapus resource project berikut: endpoint, model, set data, dan bucket Cloud Storage.
Membatalkan deployment model
Agar dapat menghapus model dan endpoint, Anda harus membatalkan deployment model.
Di konsol Google Cloud , di bagian Vertex AI, buka
halaman Training.
[[["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 2025-08-19 UTC."],[],[],null,["# Hello image data: Clean up your project\n\nClean up the Google Cloud resources that you created to train your image\nclassification model and get predictions from it. Follow these steps to avoid\nincurring unexpected charges from some of the resources.\n\nThis tutorial has several pages:\n\n1. [Set up your project and environment.](/vertex-ai/docs/tutorials/image-classification-automl)\n\n2. [Create an image classification dataset, and\n import images.](/vertex-ai/docs/tutorials/image-classification-automl/dataset)\n\n3. [Train an AutoML image classification\n model.](/vertex-ai/docs/tutorials/image-classification-automl/training)\n\n4. [Evaluate and analyze model performance.](/vertex-ai/docs/tutorials/image-classification-automl/error-analysis)\n\n5. [Deploy a model to an endpoint, and send a\n prediction.](/vertex-ai/docs/tutorials/image-classification-automl/deploy-predict)\n\n6. Clean up your project.\n\nEach page assumes that you have already performed the instructions from the\nprevious pages of the tutorial.\n\nDelete Vertex AI resources\n--------------------------\n\nThis section describes how to undeploy your model, and then delete the following\nproject resources: endpoint, model, dataset, and Cloud Storage bucket.\n\n### Undeploy your model\n\nBefore you can delete your model and endpoint, you must undeploy the model.\n\n1. In the Google Cloud console, in the Vertex AI section, go to\n the **Training** page.\n\n [Go to the Training page](https://console.cloud.google.com/vertex-ai/training)\n2. Select your trained AutoML model. This takes you to the **Evaluate** tab.\n\n3. Click the **Deploy \\& test** tab.\n\n4. Find your model. On your model's row, click the three vertical dots more_vert, then click\n **Undeploy model**.\n\n5. In **Undeploy model** , click **Confirm**.\n\n### Delete your endpoint\n\n1. In the Google Cloud console, in the Vertex AI section, go to\n the **Endpoints** page.\n\n [Go to the Endpoints page](https://console.cloud.google.com/vertex-ai/endpoints)\n2. Find your endpoint, `hello_automl_image`. On that row, click the three\n vertical dots more_vert,\n then click **Remove endpoint**.\n\n3. In **Remove endpoint** , click **Confirm**.\n\n### Delete your model\n\n1. In the Google Cloud console, in the Vertex AI section, go to\n the **Models** page.\n\n [Go to the Models page](https://console.cloud.google.com/vertex-ai/models)\n2. Find your model. On that row, click the three vertical dots more_vert, then click **Delete\n model**.\n\n3. In **Delete model and all of its associated versions** , click **Delete**.\n\n### Delete your dataset\n\n1. In the Google Cloud console, in the Vertex AI section, go to\n the **Datasets** page.\n\n [Go to the Datasets page](https://console.cloud.google.com/vertex-ai/datasets)\n2. Find your dataset. On that row, click the three vertical dots more_vert, then click **Delete\n dataset**.\n\n3. In **Delete dataset** , click **Delete**.\n\nClean up your Cloud Shell session\n---------------------------------\n\nCloud Shell incurs no charges, and it [automatically deletes your home\ndisk after a period of inactivity](/shell/docs/limitations).\n\nDelete your Cloud Storage bucket\n--------------------------------\n\n1. In the Google Cloud console, go to the Cloud Storage **Buckets** page.\n\n [Go to Buckets](https://console.cloud.google.com/storage/browser)\n2. Click the checkbox for the bucket that you want to delete.\n3. To delete the bucket, click delete **Delete**, and then follow the instructions.\n\n\u003cbr /\u003e\n\nWhat's next\n-----------\n\n- To learn about additional ways to train ML models on Vertex AI,\n try one of the other [Vertex AI tutorials](/vertex-ai/docs/tutorials).\n\n- Read an [overview of how Vertex AI\n works](/vertex-ai/docs/start/introduction-unified-platform)."]]
