learning_face_detection

Install package

flutter pub add learning_face_detection

Package Overview

Package selection guidance compiled from public package information, community data, and project usage.

A Flutter package that simplifies integrating Google's ML Kit for face detection into mobile applications. It provides a straightforward API to detect faces in images or video streams, including facial landmarks and recognition of features like eyes, mouth, and face contours. Designed for developers seeking quick implementation without deep knowledge of ML Kit’s native SDKs. The package supports both Android and iOS platforms, enabling cross-platform face detection with minimal setup.

Use cases

Real-time face tracking in apps
Facial feature analysis for AR effects
User authentication via face detection
Image processing with facial data
Interactive camera-based applications

Key features

Simple integration with Flutter
Supports facial landmark detection
Cross-platform compatibility (Android & iOS)
Minimal boilerplate code
Built on Google's ML Kit

Suitable for

Flutter developers new to ML Kit
Apps requiring basic face detection
Educational projects on computer vision
Prototyping face-aware features
Mobile apps with camera input

Considerations

Requires internet for initial model download
Limited to ML Kit's predefined face detection capabilities
Performance may vary on older devices
Does not support custom face models
Dependent on Google Play Services on Android

Original README

Original README snapshot from the linked source repository. Visit the repository for the latest content.

Learning

The easy way to use Machine Learning Kit in Flutter.

Getting Started

Add dependency to your flutter project:

$ pub add learning

Optimization

For best performance (and to minimize application size), it's better to add dependency directly from each of sub-package you want to use in your application.

Usage

Learning consists of 13 different sub-packages that we can add separately based on our application needs. Please reference to each link below to learn more about the usage of each learning package.

Vision	Version	Links	Example
`learning_text_recognition`	^0.0.4	Pub.dev Github	Example text_recognition.apk
`learning_face_detection`	^0.0.3	Pub.dev Github	Example face_detection.apk
`learning_pose_detection`	^0.0.2	Pub.dev Github	Example pose_detection.apk
`learning_selfie_segmentation`	^0.0.3	Pub.dev Github	Example selfie_segmentation.apk
`learning_image_labeling`	^0.0.2	Pub.dev Github	Example image_labeling.apk
`learning_barcode_scanning`	^0.0.3	Pub.dev Github	Example barcode_scanning.apk
`learning_object_detection`	^0.0.2	Pub.dev Github	Example object_detection.apk
`learning_digital_ink_recognition`	^0.0.2	Pub.dev Github	Example digital_ink_recognition.apk

NLP	Version	Links	Example
`learning_language`	^0.0.4	Pub.dev Github	Example language.apk
`learning_translate`	^0.0.4	Pub.dev Github	Example translate.apk
`learning_entity_extraction`	^0.0.3	Pub.dev Github	Example entity_extraction.apk
`learning_smart_reply`	^0.0.3	Pub.dev Github	Example

Helper	Version	Links
`learning_input_image`	^0.0.6+2	Pub.dev Github

Example Project

You can learn more from example project here.

Dependencies

Dependency list 1 items

learning_input_image^0.0.6+2

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