ultralytics

Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — 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.

PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.

Legacy JSON-to-YOLO dataset converter for COCO, LabelMe, Labelbox, VoTT, INFOLKS, and ATH annotations. Superseded by convert_coco() in the Ultralytics package.

Shared Ultralytics logos, media, sample images, pretrained model weights, dataset artifacts, and release assets.

Ultralytics YOLO iOS app and Swift package for real-time Core ML inference across major computer vision tasks.

Official Ultralytics YOLO Flutter plugin for real-time inference on Android and iOS across major vision tasks.

YOLOv3 training, preprocessing, validation, and inference for object detection in xView satellite imagery and the xView detection challenge.

Python Flickr image scraper for building keyword-based computer vision datasets with pagination and deduplication.

Historical Ultralytics HUB repository — HUB shut down on July 31, 2026 and was replaced by Ultralytics Platform.

Ultralytics YOLO tutorials for Colab, Kaggle, and SageMaker covering training, inference, export, and vision tasks.

High-performance Ultralytics YOLO inference in Rust with ONNX Runtime, GPU backends, CLI, and WebGPU/WASM.

Ultralytics YOLO26 quickstart for detection, instance and semantic segmentation, depth estimation, classification, pose, OBB, and tracking.

Machine learning and Structure-from-Motion tools for estimating vehicle speed from imagery for traffic monitoring, road safety, and autonomous systems research.

Ultralytics model comparison docs and automated QA for websites, links, spelling, sitemaps, and image sizes.

Ultralytics GitHub Actions for formatting, PR reviews, labeling, CI retries, CLA checks, and dependency updates.

Zero-dependency JavaScript AI chat widget with SSE streaming, search, page context, accessibility, and theming.

Retired Python SDK for the shut-down Ultralytics HUB API, kept for reference; build new integrations on the Ultralytics Platform REST API

Daily Ultralytics analytics for GitHub, PyPI, Google Analytics, Reddit, and Platform metrics, published as static JSON with historical star tracking.

MATLAB computer vision project for 3D scene reconstruction from Microsoft Kinect depth-sensor data, with sample data and visualization workflows.

MkDocs plugin for SEO metadata, social cards, JSON-LD, Git authors, Copy for LLM, and llms.txt generation.

WAVE deep learning for signal readout and reconstruction in full-waveform time-of-flight particle detectors.

Ultralytics Python package template with pytest and unittest examples, CLI, CI matrix, coverage, formatting, and automated PyPI releases.

Ultralytics company handbook covering our mission, values, onboarding, people, policies, security, and operations.

Shared MATLAB utility functions for Ultralytics scientific computing, machine learning, data analysis, geometry, visualization, and reusable research workflows.

Ultralytics organization-wide GitHub community health files, issue and pull request templates, and the public org profile.

Ultralytics iSky iOS app for real-time neural style transfer, transforming live iPhone and iPad camera video with five famous painting styles.

Python tool that clones two Git repositories and reports lines of code appearing in both, with per-file duplication statistics

Lightweight Python lazy imports that defer module loading to reduce startup time and initial memory use.

Ultralytics Rust project template with library and CLI examples, tests, benchmarks, rustfmt, clippy, coverage, dependency checks, and crates.io publishing.

Docker container, inference pipeline, and submission tooling for deploying trained YOLOv3 object detection models in the xView satellite imagery challenge.

Ready-to-use Cog deployments and CI/CD for running Ultralytics YOLO11, YOLO World, YOLOE, and YOLO26 models on Replicate.

PyTorch sandbox for testing convolutional networks, ResNets, and other architectures on MNIST digits.

MATLAB and Python tools for gamma-scatter analysis, energy calibration, and timing-resolution studies using PETSYS LYSO and SiPM detector data.

Reusable Ultralytics pre-commit hooks for automated code-quality checks, formatting standards, and consistent repository hygiene.

YOLOE data pipeline for grounding and detection labels, predictions, text refinement, cache generation, and visualization.

MATLAB code for AGM2015, the Antineutrino Global Map of natural and reactor emissions.

MATLAB simulation, signal-processing, visualization, and analysis tools for the miniTimeCube compact neutrino and particle detector.

MATLAB simulations for Earth modeling and antineutrino detection, direction, and ranging in geophysics and particle physics.

MATLAB tools for machine-learning Earth observation, geospatial analysis, neutron mapping, and visualization.

MATLAB Minimum Separation Vector Mapping for geospatial fusion, motion imagery, and ISR video analytics.

MATLAB signal-processing, analysis, calibration, and visualization tools for Neutron TimeCube detector data and neutron characterization research.

Standardized Ultralytics Python project template with packaging, tests, documentation, CI/CD, code quality, and development tooling.

Experimental Python tools for SANDD particle-detector waveform processing, timing and charge reconstruction, candidate selection, and ROOT visualization.

CocoaPods specification for the Ultralytics pod, distributing the Ultralytics.xcframework client for computer vision models hosted on the Ultralytics Platform.

Automated Python and OpenCV tool for resizing iOS screenshots to Apple App Store specifications across iPhone and iPad device formats.

Ultralytics YOLOv8 discovery and quickstart for detection, segmentation, classification, pose, OBB, and tracking.