Um plugin Flutter para usar o Image Labeling do Google's ML Kit para detectar e extrair informações sobre entidades em uma imagem em um amplo grupo de categorias.
Orientação gerada a partir de informações públicas. Apenas para referência.
Um plugin Flutter que utiliza o ML Kit do Google para rotulagem de imagens, permitindo que aplicativos detectem e classifiquem entidades dentro de imagens em uma ampla gama de categorias. Oferece análise em tempo real com modelos locais ou baseados em nuvem, suportando reconhecimento preciso de objetos sem necessidade de conectividade à internet ao usar a opção local. Ideal para aplicações que precisam de compreensão visual de imagens, como marcação de conteúdo, ferramentas de acessibilidade ou organização inteligente de fotos.
Casos de uso
Classificação de conteúdo de imagem
Recursos de acessibilidade para usuários com deficiência visual
Marcação e organização de fotos
moderação automática de conteúdo
Melhoria da busca visual
Principais recursos
Suporte a modelos locais e em nuvem
Rotulagem de imagem em tempo real
Detecção de categoria ampla
inferência de baixa latência
Integração fácil com o Flutter
Indicado para
Aplicativos móveis que exigem reconhecimento de imagem
Desenvolvedores construindo ferramentas de acessibilidade
Aplicativos focados na análise de conteúdo visual
Projetos que precisam de processamento de imagem offline
Considerações
Requer Android 5.0+ ou iOS 11.0+
O uso do modelo em nuvem incorre em custos de API
O tamanho do modelo afeta o tamanho do pacote do aplicativo
A precisão depende da qualidade da imagem
Limitado a categorias de rótulo predefinidas
README original
Snapshot do README original do repositório-fonte vinculado. Consulte o repositório para o conteúdo mais recente.
⚠️ Important: GenAI APIs are built on top of AICore and will not support all Android devices. These APIs require devices with AICore support. Please check device compatibility before using these features in production.
⚠️ Production Disclaimer: Using GenAI plugins in production is the responsibility of the developers consuming the plugins, not the authors. The authors provide these plugins as-is and are not responsible for any issues, failures, or compatibility problems that may arise from using these plugins in production environments.
PLEASE READ THIS before continuing or posting a new issue:
Google's ML Kit was build only for mobile platforms: iOS and Android apps. Web or any other platform is not supported, you can request support for those platform to Google in their repo.
This plugin is not sponsored or maintained by Google. The authors are developers excited about Machine Learning that wanted to expose Google's native APIs to Flutter.
Google's ML Kit APIs are only developed natively for iOS and Android. This plugin uses Flutter Platform Channels as explained here.
Messages are passed between the client (the app/plugin) and host (platform) using platform channels as illustrated in this diagram:
Messages and responses are passed asynchronously, to ensure the user interface remains responsive. To read more about platform channels go here.
Because this plugin uses platform channels, no Machine Learning processing is done in Flutter/Dart, all the calls are passed to the native platform using MethodChannel in Android and FlutterMethodChannel in iOS, and executed using Google's native APIs. Think of this plugin as a bridge between your app and Google's native ML Kit APIs. This plugin only passes the call to the native API and the processing is done by Google's API. It is important that you understand this concept when it comes to debugging errors for your ML model and/or app.
Since the plugin uses platform channels, you may encounter issues with the native API. Before submitting a new issue, identify the source of the issue. You can run both iOS and/or Android native example apps by Google and make sure that the issue is not reproducible with their native examples. If you can reproduce the issue in their apps then report the issue to Google. The authors do not have access to the source code of their native APIs, so you need to report the issue to them. If you find that their example apps are okay and still you have an issue using this plugin, then look at our closed and open issues. If you cannot find anything that can help you then report the issue and provide enough details. Be patient, someone from the community will eventually help you.
Migrating from ML Kit for Firebase to the new standalone ML Kit SDK
When Migrating from ML Kit for Firebase to the new standalone ML Kit SDK read this guide.
Until https://github.com/flutter/flutter/issues/145961 is resolved, the most recent version of the camera package doesn't support the required image formats. To make things work, manually add the legacy plugin via the instructions from https://pub.dev/packages/camera_android.
Contributing
Contributions are welcome.
In case of any problems look at existing issues, if you cannot find anything related to your problem then open an issue.
Create an issue before opening a pull request for non trivial fixes.
In case of trivial fixes open a pull request directly.