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Flutter plugin to use Google's ML Kit Selfie Segmentation API to easily separate the background from users within a scene and focus on what matters.
Advanced face & landmark detection, embedding and segmentation using on-device TFLite models.#tflite#face-detection#computer-vision#flutter-plugin
A Flutter plugin to use Apple Vision Selfie Segmentation Detection to detect the person in real time from a continuous video or static image.
Platformiosmacos
Airflex.io is a Mobile Marketing Platform that offers tools for analyzing and optimizing user experiences on mobile and web platforms. It features real-time data analytics, audience segmentation, fraud prevention, and AI-driven user personalization to enhance marketing efficiency and campaign effectiveness.
Plugin for managing Yolov5, Yolov8 and Tesseract v5 accessing with TensorFlow Lite 2.x. Support object detection, segmentation and OCR on Android. iOS, Working in progress.
Effortlessly remove backgrounds from images in your Flutter app with Background Remover. This cross-platform Flutter package leverages Apple Vision Selfie on macOS and Google ML Kit Selfie Segmentation on Android and iOS to deliver efficient background removal. The package provides a simple API for developers, making it easy to integrate this powerful feature into your applications.
Notificare Geo Flutter Plugin: Transform your user's location into relevant information, automate users segmentation based on location and create truly contextual notifications.
The easy way to use ML Kit for selfie segmentation in Flutter.
A compact Japanese text tokenizer for Dart. TinySegmenter is a Japanese word segmentation library based on the original JavaScript implementation by Taku Kudo.#japanese#text-processing#tokenizer#nlp#segmentation
A Flutter implementation of Chinese word segmentation Python library, jieba.