Pure C#/.NET YOLO inference: SIMD CPU, Vulkan/Metal GPU, direct .pt and ONNX; detection, segmentation and pose.
Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 โ object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
We write your reusable computer vision tools. ๐
Umami is a privacy-first analytics platform. Traffic, campaigns, behavior, conversions, and revenue in one place โ no cookies, no surveillance, self-hosted or in the cloud.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Label Studio is a multi-type data labeling and annotation tool with standardized output format
CVAT is a leading data annotation platform for image, video, audio, and 3D datasets. It offers open-source, cloud, and enterprise products, as well as labeling services, with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.
Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.
Unsupervised text tokenizer for Neural Network-based text generation.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, point cloud and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.
CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
A unified framework for machine learning with time series
RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
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BoxMOT: Pluggable Python and C++ SOTA multi-object tracking modules with support for axis-aligned and oriented bounding boxes
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
All-in-One Development Tool based on PaddlePaddle
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
An OBS plugin for removing background in portrait images (video), making it easy to replace the background when recording or streaming.
[CAAI AIR'24] Bilateral Reference for High-Resolution Dichotomous Image Segmentation
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
STUMPY is a powerful and scalable Python library for modern time series analysis
Paper list and datasets for industrial image anomaly/defect detection (updating). ๅทฅไธๅผๅธธ/็็ตๆฃๆต่ฎบๆๅๆฐๆฎ้ๆฃ็ดขๅบ(ๆ็ปญๆดๆฐ)ใ
GeoAI: Artificial Intelligence for Geospatial Data
pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.
Tool for robust segmentation of >100 important anatomical structures in CT and MR images
Open-source customer engagement. Automate transactional and marketing messages across email, SMS, mobile push, WhatsApp, Slack, and more ๐จ
Images to inference with no labeling (use foundation models to train supervised models).
Pytorch framework for doing deep learning on point clouds.
Multi-platform, free open source software for visualization and image computing.
Deep Learning Server and CLI for Torch and TensorRT
Turn any computer or edge device into a command center for your computer vision projects.
The collection of pre-trained, state-of-the-art AI models for ailia SDK
Labeling tool with SAM(segment anything model),supports SAM, SAM2, SAM3, sam-hq, MobileSAM EdgeSAM etc.ไบคไบๅผๅ่ชๅจๅพๅๆ ๆณจๅทฅๅ ท
A ComfyUI custom node designed for advanced image background removal and object, face, clothes, and fashion segmentation, utilizing multiple models including RMBG-2.0, VRMBG-3.0, FeyNoBg, Finegrain Box Segmenter, INSPYRENET, BEN, BEN2, BiRefNet, Lucida, SDMatte, SAM, SAM2, SAM3, Florence-2, YOLOv8/YOLO11, Big-Lama, and GroundingDINO.
UniFace: A Unified Face Analysis Library for Python | Detection, alignment, landmarks, face-mesh, recognition, parsing, gaze, attributes and anti-spoofing under one API.
Core ML model zoo for iOS/macOS โ PyTorch models converted to ready-to-use .mlpackage, each with a conversion script and SwiftUI sample app. Sibling repos cover Apple's Core AI framework (iOS/macOS 27) and on-device LLMs.
All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.
Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.
A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. ๐26 knowledge distillation methods presented at TPAMI, CVPR, ICLR, ECCV, NeurIPS, ICCV, AAAI, etc are implemented so far. ๐ Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
Advanced Normalization Tools (ANTs)
QuPath - Open-source bioimage analysis for research
๐ฅ๐ฅ๐ฅTensorRT for YOLO26 (det/pose/seg/depth/obb/cls), YOLOv11,YOLOv10 YOLOv9,YOLOv8, ... ๐๐๐ CUDA IS ALL YOU NEED. ๐๐๐
A toolkit for time series machine learning and deep learning
Toolkit to segment text into sentences or other semantic units in a robust, efficient and adaptable way.
Solves basic Russian NLP tasks, API for lower level Natasha projects
Build, train, optimize, and run computer vision models locally, from raw images to live inference. Open source, optimized for Intel XPU (CPU-only and CUDA also supported).
A Docker-powered service for PDF document layout analysis. This service provides a powerful and flexible PDF analysis service. The service allows for the segmentation and classification of different parts of PDF pages, identifying the elements such as texts, titles, pictures, tables and so on.
AI-assisted RAW photo developer: GPT vision advisor proposes an EditRecipe, a deterministic Rust engine renders it โ Lightroom-compatible XMP sidecars, 24 RAW formats + baked images, measured (not guessed) Lightroom mask geometry, local GUI/web UI, AI denoise & segmentation sidecars
Intel / AMD CPU Internals
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Neural Network Compression Framework for enhanced OpenVINOโข inference
A framework for data augmentation for 2D and 3D image classification and segmentation
Thai natural language processing in Python
Cornerstone is a set of JavaScript libraries that can be used to build web-based medical imaging applications. It provides a framework to build radiology applications such as the OHIF Viewer.