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A real-time object detection mobile application built with Flutter, integrating YOLOv12n on the COCO dataset via TensorFlow Lite for accurate, on-device detection with adjustable confidence thresholds.

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Name		Name	Last commit message	Last commit date
Latest commit History 14 Commits
.github/workflows		.github/workflows
android		android
lib		lib
screenshots		screenshots
test		test
.gitignore		.gitignore
.metadata		.metadata
README.md		README.md
analysis_options.yaml		analysis_options.yaml
pubspec.lock		pubspec.lock
pubspec.yaml		pubspec.yaml

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Detecteo

Real-time object detection Flutter app powered by Ultralytics YOLO.

Requirements

Flutter SDK (Dart ^3.10.4)
Android Studio / Android SDK (for Android builds)
JDK 17 (required by the Android/Gradle toolchain)

Setup

Install dependencies:

flutter pub get

(Android) Make sure Java 17 is available.

Set JAVA_HOME to your JDK 17 folder
Ensure %JAVA_HOME%\\bin is in your PATH

Run

flutter run

Usage

Use the bottom sheet slider to adjust the confidence threshold.
Tap the camera switch button to swap between front/back cameras.

About

A real-time object detection mobile application built with Flutter, integrating YOLOv12n on the COCO dataset via TensorFlow Lite for accurate, on-device detection with adjustable confidence thresholds.

realtime yolo object-detection yolov11n

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