Democratizing Vision AI
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Ultralytics is an organization on GitHub dedicated to democratizing Vision AI. It hosts a wide range of public repositories primarily using Python, along with MATLAB, Jupyter Notebook, Swift, Rust, and Dart. Notable projects include Ultralytics YOLO and YOLOv5, which are widely utilized in the field of computer vision.
Ultralytics YOLO 🚀
Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite
Ultralytics YOLOv3 in PyTorch > ONNX > CoreML > TFLite
Convert COCO JSON to YOLO format
Ultralytics assets
Ultralytics YOLO iOS App source code for running YOLO in your own iOS apps 🌟
Flutter plugin for Ultralytics YOLO
Google/Bing Images Web Downloader
xView 2018 Object Detection Challenge: YOLOv3 Training and Inference.
Simple Flickr Image Scraper
Ultralytics Platform tutorials and support
Ultralytics Notebooks 🚀
Profile PyTorch models for FLOPs and parameters, helping to evaluate computational efficiency and memory usage.
Structure From Motion (SFM) for vehicle speed
Ultralytics Docs https://docs.ultralytics.com
Ultralytics GitHub Actions
Ultralytics LLM-related experiments
Rust inference package experiments
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
SDK for Ultralytics HUB
Count GitHub Stars ⭐
3D Scene Reconstruction in MATLAB with the Microsoft Kinect depth sensor.
MkDocs plugin for Ultralytics Docs at https://docs.ultralytics.com
WAveform Vector Exploitation (WAVE): Machine Learning for particle physics detectors.
Ultralytics Python Project Template
A guide to Ultralytics' mission, vision, values, and practices, providing key insights and resources for aligning with our goals.
Ultralytics GitHub default .github repository.
Ultralytics implementation of the research paper, "MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training" CVPR 2024
Common functions employed throughout various Ultralytics projects.
🔍 Ultralytics Source Trace: A tool for detecting and analyzing code duplication across Git repositories.
Ultralytics iSky iOS app transforms your world into art with real-time style transfer.
Official June 2018 Documentation for Tinder's API
xView 2018 Object Detection Challenge: Docker container submission code
Effortless lazy Python imports
MNIST Sandbox for testing neural network architectures.
Ultralytics Rust Package Template
Deploy YOLO models to Replicate with ready-to-use Cog configurations and automated CI/CD. Includes optimized deployments for YOLO11, and reference implementations for custom model deployment.
LYSO-SiPM gamma scatter analysis from data collected by Ultralytics at PETSYS labs in Lisbon, Portugal, 2017.
Ultralytics pre-commit hooks
miniTimeCube (mTC) antineutrino detector simulation and analysis.
AntiNeutrino Global Map (AGM) 2015 production code
NeUtrino Detection and Ranging (NUDAR): earth modeling and neutrino detection simulation software
Minimum Separation Vector Mapping (MSVM)
Neutron TimeCube (NTC) neutron detector simulation and analysis
yoloe_data_engine
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Earth observation software powered by Machine Learning (ML). Viewable in Google Maps and WebGL Earth.
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Ultralytics iOS Pods
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Ultralytics YOLOv8 🚀
Ultralytics YOLO11 🚀
Ultralytics YOLO26 🚀
Ultralytics builds various projects focused on computer vision, including popular models like YOLO and YOLOv5. These projects are designed for tasks such as object detection and image processing.
Ultralytics primarily uses Python for its projects, but also incorporates MATLAB, Jupyter Notebook, Swift, Rust, and Dart in various repositories, reflecting a diverse approach to development.
Yes, all of ultralytics's repositories on GitHub are public. This allows users and developers to access, contribute to, and utilize their projects freely.
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