#computer-vision

Unified, high-performance computer vision tracking library

OpenCV wrapper for .NET

C++ port of ZXing

X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.

A Python toolkit for pathology image analysis algorithms.

Machine vision toolbox for Python

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

Turn any computer or edge device into a command center for your computer vision projects.

基于图像识别的自动化黑盒测试框架 | An automation black-box testing framework based on image recognition

Cross-platform, customizable ML solutions for live and streaming media.

Statistical Machine Intelligence & Learning Engine

Open-source framework for uncertainty and deep learning models in PyTorch 🌱

:movie_camera: Python and OpenCV-based scene cut/transition detection program & library.

End-to-end ML toolkit automating the complete workflow — data profiling, preprocessing, feature engineering, model selection, training, validation, explainability, drift monitoring, fairness checks, and interactive HTML reporting. Includes a full CLI for zero-code ML pipelines. Python 3.10+.

A native Rust toolkit for OCR, document layout analysis, and vision-language document understanding.

Rust bindings for OpenCV

PyTorch model profiler for computing MACs and parameter counts to measure deep learning model complexity.

Remove visible and invisible AI watermarks and provenance metadata from images and video. Python library and CLI for SynthID, C2PA, EXIF, IPTC, XMP, and common generative-AI marks.

Perception evaluation toolkit in Rust with Python bindings. A pycocotools drop-in for COCO, LVIS, and Open Images detection metrics, up to 36× faster, plus TIDE error analysis, confusion matrices, calibration, model comparison, and a dataset browser.

An open source implementation of CLIP.

Mobilint Model Zoo Project

Make drawing and labeling bounding boxes a piece of cake

AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.

A browser-based tool for image annotation

📸 Automatically detects and crops faces from batches of pictures.

Emgu CV is a cross platform .Net wrapper to the OpenCV image processing library.

Rust library and CLI tool for OCR (extracting text from images)

grep for images – local, offline image search for the terminal