Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 β 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. π
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
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.
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.
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]
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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
[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
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
Images to inference with no labeling (use foundation models to train supervised models).
Pytorch framework for doing deep learning on point clouds.
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.δΊ€δΊεΌεθͺε¨εΎεζ 注ε·₯ε ·
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.
All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.
A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. π26 knowledge distillation methods presented at TPAMI, CVPR, ICLR, ECCV, NeurIPS, ICCV, AAAI, etc are implemented so far. π Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
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.
Neural Network Compression Framework for enhanced OpenVINOβ’ inference
Thai natural language processing in Python
Open-source AI video replacement workflow by TEIN. Combine depth maps, SAM segmentation, face meshes, and audio processing to replace characters and objects with Seedance. Includes a local web UI to prepare inputs, review masks, preview generations, and export with original audio.
Official PyTorch implementation of Superpoint Transformer [ICCV'23], SuperCluster [3DV'24 Oral], and EZ-SP [ICRA'26]
MetaSeg: Packaged version of the Segment Anything repository
Python toolkit, MCP server, and agent skills for reproducible, auditable clickstream and event log analytics. Helps AI agents, data scientists and analysts build, validate, and cross-check product analytics, quantitative UX, customer journeys, graph-based user flows, behavioral segmentation, A/B tests, process mining models, Markov chain simulation
LibreYOLO is a MIT licensed open source computer vision library
MONAI Label is an intelligent open source image labeling and learning tool.
A fast medical imaging analysis library in Python with algorithms for registration, segmentation, and more.
Python Computer Vision & Video Analytics Framework With Batteries Included
DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning,Β statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy includingΒ diffusion, perfusion and structural imaging.
High-performance Vision library in Python. Scale your research, not boilerplate.
3D medical imaging reconstruction software
[CVPR2026]πππOfficial code for the paper "YOLO-Master: MOE-Accelerated with Specialized Transformers for Enhanced Real-time Detection." *(YOLO = You Only Look Once)* π₯π₯π₯
Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.
CRM and Task management software, Email marketing and many more. Django CRM software app is built for individual use by businesses of any size or freelancers and is designed to provide easy customization and quick development. β¨
Image augmentation for computer vision. AGPL-3.0-only or commercial licensing.
Computational Pathology Toolbox developed by TIA Centre, University of Warwick.
nnInteractive is a framework for 3D interactive segmentation, supporting intuitive prompts like points, scribbles, bounding boxes, and lasso. Trained on 120+ diverse 3D datasets, it sets a new standard in accuracy, usability, and adaptability for clinical and research applications.
Cross-platform DICOM viewer for CT, MRI & PET/CT with MPR, 3D, fusion, editable segmentation and local AI auto-segmentation via TotalSegmentator.
π¬ OraRL β Annotations as Rollouts for efficient, scalable reinforcement learning of unified video MLLMs.
McByte++ : faster, enhanced and long-term tracking version of McByte. With re-ID included.
[SIGGRAPH Asia 2026 (TOG)] PartLLM: A Unified Multimodal Foundation for 3D Part Segmentation