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YOLO Flutter

YOLO Flutter is an official Ultralytics Dart plugin that lets Flutter apps run YOLO computer-vision inference on Android and iOS. It offers a camera-based interface for real-time inference and a separate interface for single-image predictions, with support for detection, segmentation, classification, depth estimation, pose and oriented bounding boxes.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

YOLO Flutter — OpenViST project profile in AI Developer Tools & SDKs.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when building a Flutter mobile feature that needs YOLO inference from a live camera or a single image, and the model can be used with the Android or iOS runtime path documented by the plugin.

Who it is for

  • Flutter developers adding YOLO-based computer vision to Android or iOS apps.
  • Mobile app teams choosing between live-camera and single-image inference workflows.

Documented uses

  • Process camera frames for real-time object detection and other supported vision tasks.
  • Run a YOLO prediction on image bytes within a mobile app.
  • Use an official model ID or integrate a custom model with the documented platform runtime.
Before you choose

Requirements & limits

  • Choose YOLOView for live-camera inference and YOLO for single-image inference.
  • Official model assets are downloaded on first use and cached in app storage; the app package need not carry those large model files.
  • Custom model runtime differs by platform: LiteRT (TFLite) on Android and Core ML on iOS.
  • The README lists an opt-in Qualcomm NPU route for QNN models on Snapdragon hardware.
  • The repository specifies the AGPL-3.0 license.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up the YOLO Flutter package

Add the plugin dependency to a Flutter project and fetch its package dependencies.

Before you start

  • A Flutter project with its dependency configuration available.

Steps

  1. Add ultralytics_yolo: ^0.6.16 under dependencies in the project’s pubspec.yaml.

  2. Run flutter pub get.

Expected outcome

The plugin is declared as a project dependency and Flutter fetches the package dependencies.

Guide limitations

  • This setup recipe does not cover building, permissions, model selection or running inference.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
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Sources checked
13 October 2026
Original website title
ultralytics/yolo-flutter-app · Official homepage title · retained in its source language
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