Machine Learning, OCR & Computer Vision · Rankings

A Flutter plugin to use Google's ML Kit Text Recognition to recognize text in any Chinese, Devanagari, Japanese, Korean and Latin character set.

A Flutter plugin with commons files to implement google's standalone ml kit made for mobile platform.

A Flutter plugin to use Google's ML Kit Face Detection to detect faces in an image, identify key facial features, and get the contours of detected faces.

A Flutter plugin to use Google's ML Kit On-Device Translation to dynamically translate text between more than 50 languages.

A Flutter plugin to use all APIs from Google's standalone ML Kit for mobile platforms.

A Flutter plugin to use Google's ML Kit Pose Detection to detect the pose of a subject's body in real time from a continuous video or static image.

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.

A Flutter plugin to use Google's ML Kit Image Labeling to detect and extract information about entities in an image across a broad group of categories.

A Flutter plugin to use Google's ML Kit Language Identification to determine the language of a string of text.

A Flutter plugin to use Google's ML Kit Object Detection and Tracking to detect and track objects in an image or live camera feed.

A Flutter plugin to use Google's ML Kit Digital Ink Recognition to recognize handwritten text on a digital surface in hundreds of languages, as well as classify sketches.

This is a flutter module for Regula Face SDK. It allows you to easily compaire faces using your phone's camera. Supports Android and iOS.

Tesseract 4 adds a new neural net (LSTM) based OCR engine which is focused on line recognition. It has unicode (UTF-8) support, and can recognize more than 100 languages.

Tesseract 4 adds a new neural net (LSTM) based OCR engine which is focused on line recognition. It has unicode (UTF-8) support, and can recognize more than 100 languages.

Flutter plugin for Ultralytics YOLO computer vision models.

Machine learning algorithms, Machine learning models performance evaluation functionality

ExecuTorch ML inference for Flutter using dart:ffi. Supports Android, iOS, macOS, Linux, Windows, and Web.

Web platform support for sherpa_onnx using WebAssembly.

A single function package to detect weather the face visible in the camera is a live face or not.

Plugin for managing Yolov5, Yolov8 and Yolov11 accessing with LiteRT (TensorFlow Lite) Support object detection and segmentation on Android. iOS, Working in progress.

A Flutter plugin allowing you to use Firebase Ml Model Downloader.

LiteRT-LM (.litertlm) on-device inference engine for flutter_gemma via dart:ffi (5 native platforms) + web. Opt-in InferenceEngineProvider. Also ships the LiteRT C API embedding backend (LiteRtEmbeddi [...]

OpenCV4 bindings for Flutter, using dart:ffi.

A Flutter package to detect NSFW (Not Safe For Work / NUDE / adults) content and classify SAFE content without requiring assets. Easily integrate NSFW detection into your app.

A Flutter package that removes the background from images using an ONNX model.

AI Library to create efficient Artificial Neural Networks. Computation uses SIMD (Single Instruction Multiple Data) to improve performance.

Allows you to add Google Visions image labeling, face, logo, and landmark detection, OCR, and detection of explicit content, into cross platform applications.