Percorsi di installazione dei modelli ML Kit su Android
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Per impostazione predefinita, tutte le funzionalità di ML Kit utilizzano i modelli di machine learning addestrati da Google (noti come modelli di base). Questa guida è applicabile solo ai modelli di base. Leggi qui per indicazioni sui modelli personalizzati.
I modelli nelle API ML Kit possono essere installati in tre modi:
- Sganciati:i modelli vengono scaricati e gestiti tramite Google Play Services.
- In bundle: i modelli sono collegati in modo statico alla tua app in fase di compilazione.
- Scaricare in modo dinamico:i modelli vengono scaricati su richiesta.
Percorsi di installazione supportati per ogni API
La tabella seguente mostra i percorsi di installazione dei modelli supportati da ogni funzionalità di MLKit:
Le guide specifiche per l'API mostrano le opzioni di installazione disponibili per l'API in questione.
Differenze principali tra le opzioni di installazione
Come scegliere tra pacchetti e singoli prodotti
Se un'API supporta sia le opzioni di installazione in bundle che quelle non in bundle:
Come scaricare i modelli
Quando utilizzi l'opzione del modello non aggregato, puoi specificare come devono essere scaricati i modelli sul dispositivo:
Puoi attivare i download dei modelli al momento dell'installazione aggiungendo una dichiarazione al file AndroidManifest.xml
della tua app. Ad esempio, lo snippet di codice riportato di seguito mostra come configurare l'app in modo che scarichi automaticamente il modello di scansione dei codici a barre dopo l'installazione dell'app dal Play Store:
<application ...>
...
<meta-data
android:name="com.google.mlkit.vision.DEPENDENCIES"
android:value="barcode" >
<!-- To use multiple models: android:value="barcode,model2,model3" -->
</application>
Puoi richiedere il download esplicito tramite l'API ModuleInstallClient di Google Play Services.
Se non attivi i download dei modelli al momento dell'installazione o richiedi il download esplicito, il modello verrà scaricato la prima volta che esegui la funzionalità.
Fino al completamento del download, le richieste di inferenza non andranno a buon fine.
Come aggiornare i modelli
Per aggiornare i modelli quando utilizzi il modello in bundle o l'opzione per i modelli scaricati dinamicamente:
Aggiorna il file gradle dell'app per utilizzare la libreria client della funzionalità ML Kit più recente.
dependencies {
implementation 'com.google.mlkit:barcode-scanning: 17.3.0' // The latest version number of the API
}
Ricostruisci l'app.
Perché alcune API offrono modelli scaricati dinamicamente
Alcune API ML Kit hanno troppe opzioni di modello da raggruppare. Ad esempio, il riconoscimento della scrittura digitale supporta oltre 300 lingue e non è sempre necessario inserire tutte le lingue all'interno della funzionalità durante l'installazione.
A questo scopo, forniamo la terza opzione di installazione, in cui i modelli vengono scaricati on demand dopo l'installazione. Al momento, solo le funzionalità di riconoscimento della scrittura digitale, traduzione ed estrazione di entità dispongono di questa opzione.
Salvo quando diversamente specificato, i contenuti di questa pagina sono concessi in base alla licenza Creative Commons Attribution 4.0, mentre gli esempi di codice sono concessi in base alla licenza Apache 2.0. Per ulteriori dettagli, consulta le norme del sito di Google Developers. Java è un marchio registrato di Oracle e/o delle sue consociate.
Ultimo aggiornamento 2025-08-29 UTC.
[null,null,["Ultimo aggiornamento 2025-08-29 UTC."],[[["\u003cp\u003eML Kit features utilize Google-trained machine learning models, offering three installation options: unbundled, bundled, and dynamically downloaded.\u003c/p\u003e\n"],["\u003cp\u003eUnbundled models are downloaded via Google Play Services, while bundled models are included in the app, and dynamically downloaded models are fetched on demand.\u003c/p\u003e\n"],["\u003cp\u003eChoosing between bundled and unbundled models depends on priorities: bundled for immediate functionality, unbundled for smaller app size and automatic updates.\u003c/p\u003e\n"],["\u003cp\u003eModels can be downloaded at install time, explicitly requested, or downloaded on first use, and updates for bundled or dynamically downloaded models require app updates.\u003c/p\u003e\n"],["\u003cp\u003eDynamically downloaded models are offered for APIs with extensive model options, such as Digital Ink Recognition and Translation, to avoid bundling all possibilities.\u003c/p\u003e\n"]]],[],null,["All ML Kit features make use of Google-trained machine learning models (known as\nbase models) by default. This guide is only applicable to base models. [See here\nfor guidance on custom models.](/ml-kit/custom-models)\n\nModels in ML Kit APIs can be installed in one of three ways:\n\n1. **Unbundled:** Models are downloaded and managed via Google Play Services.\n2. **Bundled:** Models are statically linked to your app at build time.\n3. **Dynamically downloaded:** Models are downloaded on demand.\n\nSupported installation paths for each API\n\nThe table below shows which model installation paths are supported by each ML\nKit feature:\n\n|---------------------------------------------------------------------------|---------------|-------------|----------------------------|\n| | **Unbundled** | **Bundled** | **Dynamically downloaded** |\n| [Text recognition v2](/ml-kit/vision/text-recognition/v2/android) | ✅ | ✅ | |\n| [Face detection](/ml-kit/vision/face-detection/android) | ✅ | ✅ | |\n| [Face mesh detection](/ml-kit/vision/face-mesh-detection/android) | | ✅ | |\n| [Pose detection](/ml-kit/vision/pose-detection/android) | | ✅ | |\n| [Selfie segmentation](/ml-kit/vision/selfie-segmentation/android) | | ✅ | |\n| [Barcode scanning](/ml-kit/vision/barcode-scanning/android) | ✅ | ✅ | |\n| [Image labeling](/ml-kit/vision/image-labeling/android) | ✅ | ✅ | |\n| [Object detection and tracking](/ml-kit/vision/object-detection/android) | | ✅ | |\n| [Digital ink recognition](/ml-kit/vision/digital-ink-recognition/android) | | | ✅ |\n| [Document scanner](/ml-kit/vision/doc-scanner) | ✅ | | |\n| [Subject segmentation](/ml-kit/vision/subject-segmentation/android) | ✅ | | |\n| [Google code scanner](/ml-kit/code-scanner) | ✅ | | |\n| [Language identification](/ml-kit/language/identification/android) | ✅ | ✅ | |\n| [Translation](/ml-kit/language/translation/android) | | | ✅ |\n| [Smart Reply](/ml-kit/language/smart-reply/android) | ✅ | ✅ | |\n| [Entity Extraction](/ml-kit/language/entity-extraction/android) | | | ✅ |\n\nAPI-specific guides show which installation options are available for the given\nAPI.\n\nKey differences between installation options\n\n|----------------------------------------------|-------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| | **Unbundled** | **Bundled** | **Dynamically downloaded** |\n| **Where are models stored?** | Resides in Google Play Services and is not counted towards the storage used by this app | Saved in [app-specific storage](https://developer.android.com/training/data-storage/app-specific) after installation | Saved in [app-specific storage](https://developer.android.com/training/data-storage/app-specific) after model download |\n| **How does model size affect app size?** | Does not contribute to app size | Directly contributes to app size | Does not contribute to app size but increase the [app-specific storage](https://developer.android.com/training/data-storage/app-specific) |\n| **When are models updated?** | Automatically updated when a newer version is released | [Need to update the app to update model](#update-model) | [Need to update the app to update model](#update-model) |\n| **When are models downloaded?** | [Models must be downloaded before use](#download-models) | All models and features are included when the app is installed, so are usable immediately | Model downloads, updates, and deletions must be managed manually using the [RemoteModelManager](/android/reference/com/google/mlkit/common/model/RemoteModelManager) API |\n| **When are models removed from the device?** | Google Play Services will only remove the model from storage if all apps that depend on the model are uninstalled | Models are removed from [app-specific storage](https://developer.android.com/training/data-storage/app-specific) when the app is uninstalled | Downloaded models are removed from [app-specific storage](https://developer.android.com/training/data-storage/app-specific) when the app is uninstalled |\n\nHow to choose between bundled and unbundled\n\nIf an API supports both the bundled and unbundled installation options:\n\n- Use the bundled option if you prioritize:\n\n - Complete feature functionality immediately after app installation\n - Feature functionality without network connection after app installation\n- Use the unbundled option if you prioritize:\n\n - Smaller app size\n - Automated model updates by Google Play Services\n\nHow to download models\n\nWhen using the unbundled model option, you can specify how you want models to be\ndownloaded to the device:\n\n- You can enable **install-time model downloads** by adding a declaration to\n your app's `AndroidManifest.xml` file. For example, the code snippet below\n shows how to configure your app to automatically download the Barcode\n Scanning model after your app is installed from the Play Store:\n\n \u003capplication ...\u003e\n ...\n \u003cmeta-data\n android:name=\"com.google.mlkit.vision.DEPENDENCIES\"\n android:value=\"barcode\" \u003e\n \u003c!-- To use multiple models: android:value=\"barcode,model2,model3\" --\u003e\n \u003c/application\u003e\n\n- You can **request explicit download** through Google Play Services\n [ModuleInstallClient API](/android/guides/module-install-apis).\n\n- If you don't enable install-time model downloads or request explicit\n download, the model will be downloaded the first time you run the feature.\n Until the download is completed, inference requests will fail.\n\nHow to update models\n\nTo update your models when using the bundled model or the dynamically downloaded\nmodels option:\n\n1. Update your app's gradle file to use the latest ML Kit feature client\n library.\n\n dependencies {\n implementation 'com.google.mlkit:barcode-scanning: 17.3.0' // The latest version number of the API\n }\n\n2. Rebuild your app.\n\nWhy some APIs offer dynamically downloaded models\n\nSome ML Kit API have too many model options to bundle. For example, [Digital ink\nrecognition](/ml-kit/vision/digital-ink-recognition) supports [300+\nlanguages](/ml-kit/vision/digital-ink-recognition/base-models), and it's not\nalways necessary to put every language inside the feature during installation.\nFor that purpose, we provide the third installation option, in which models are\ndownloaded on demand after installation. Currently, only [Digital ink\nrecognition](/ml-kit/vision/digital-ink-recognition),\n[Translation](/ml-kit/language/translation) and [Entity\nextraction](/ml-kit/language/entity-extraction) have this option."]]