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Bereinigen Sie die Google Cloud Ressourcen, die Sie erstellt haben, um Ihr Bildklassifizierungsmodell zu trainieren und Vorhersagen zu erhalten. Mit den folgenden Schritten vermeiden Sie unerwartete Kosten für einige Ressourcen.
Auf jeder Seite wird davon ausgegangen, dass Sie die Anleitung auf den vorherigen Seiten des Leitfadens bereits ausgeführt haben.
Vertex AI-Ressourcen löschen
In diesem Abschnitt wird beschrieben, wie Sie die Bereitstellung Ihres Modells aufheben und dann die folgenden Projektressourcen löschen: Endpunkt, Modell, Dataset und Cloud Storage-Bucket.
Bereitstellung eines Modells entfernen
Bevor Sie das Modell und den Endpunkt löschen können, müssen Sie die Bereitstellung des Modells aufheben.
Wechseln Sie in der Google Cloud Console im Abschnitt „Vertex AI“ zur Seite Training.
[[["Leicht verständlich","easyToUnderstand","thumb-up"],["Mein Problem wurde gelöst","solvedMyProblem","thumb-up"],["Sonstiges","otherUp","thumb-up"]],[["Schwer verständlich","hardToUnderstand","thumb-down"],["Informationen oder Beispielcode falsch","incorrectInformationOrSampleCode","thumb-down"],["Benötigte Informationen/Beispiele nicht gefunden","missingTheInformationSamplesINeed","thumb-down"],["Problem mit der Übersetzung","translationIssue","thumb-down"],["Sonstiges","otherDown","thumb-down"]],["Zuletzt aktualisiert: 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)."]]
