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Tutorial ini membahas langkah-langkah yang diperlukan untuk melatih dan mendapatkan prediksi dari model klasifikasi gambar di konsol Google Cloud .
Untuk menyelesaikan tutorial ini, Anda dapat mengikuti petunjuk di
halaman berikut atau menggunakan tutorial panduan dalam konsol, yang merupakan tutorial
yang serupa di konsol Google Cloud . Panduan dalam konsol tutorial menggunakan set data multi-label dan yang ada dalam dokumentasi menggunakan set data label tunggal.
[[["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 2025-08-25 UTC."],[],[],null,["# Hello image data\n\nThis tutorial walks you through the required steps to train and get predictions\nfrom your image classification model in the Google Cloud console.\n\nTo complete this tutorial, you can either follow the instructions in the\nfollowing pages or use the in-console walkthrough tutorial, which is a similar\ntutorial in the Google Cloud console. The tutorial in-console walkthrough uses a\nmulti-label dataset and the one in the documentation uses a single-label dataset.\n\nTutorial pages\n--------------\n\nThis tutorial has several pages:\n\n1. [Setting up your project](/vertex-ai/docs/tutorials/image-classification-automl).\n2. [Creating a image classification dataset](/vertex-ai/docs/tutorials/image-classification-automl/dataset).\n3. [Training an AutoML image classification model](/vertex-ai/docs/tutorials/image-classification-automl/training).\n4. [Deploying the model for batch predictions](/vertex-ai/docs/tutorials/image-classification-automl/deploy-predict).\n5. [Cleaning up your project](/vertex-ai/docs/tutorials/image-classification-automl/cleanup)."]]
