ultralytics/ultralytics
PublicUltralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
Find trending repositories by name or description.
Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
ITK-SNAP medical image segmentation tool
Keras Implementation of The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation by (Simon Jégou, Michal Drozdzal, David Vazquez, Adriana Romero, Yoshua Bengio)
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
A fast medical imaging analysis library in Python with algorithms for registration, segmentation, and more.
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
The Jieba Chinese Word Segmentation Implemented in Rust
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
PyTorch Connectomics: segmentation toolbox for EM connectomics
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.
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
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
PySODMetrics: A Simple and Efficient Implementation of Grayscale/Binary Segmentation Metrics
A Python GUI-based framework for segmentation, tracking and cell cycle annotations of microscopy data
Awesome weakly-supervised image semantic segmentation, 2016-2026
A curated list of papers, code and resources pertaining to weak-shot classification, detection, and segmentation.
Patchwork++: Fast and robust ground segmentation method for 3D LiDAR scans. @ IROS'22
[CAAI AIR'24] Bilateral Reference for High-Resolution Dichotomous Image Segmentation
Cell tracking and segmentation software
Semantic Segmentation for Remote Sensing
Facilitates simple large scale processing of HLS Medical images, documents, zip files. OHIF Viewer, 2 segmentation models and interactive learning.
Free and open source semantic segmentation of 3D point clouds, fast and memory efficient.
YOLO Vision Studio: a free, open-source Streamlit app for detection, segmentation, pose, text prompts (YOLO World, YOLOE) and tracking with honest counts. Built on Ultralytics YOLO26.
🔥 Latest advances in Video Object Segmentation (VOS) – papers, datasets, and projects.
[CVPR 2024 🔥] Grounding Large Multimodal Model (GLaMM), the first-of-its-kind model capable of generating natural language responses that are seamlessly integrated with object segmentation masks.
Codebase for "A Foundation Model for Cell Segmentation"
3D Slicer extension for fully-automatic segmentation of CT and CBCT dental volumes.