Ultralytics 是一家专注于视觉人工智能的组织,其在 GitHub 上拥有大量的公共仓库。主要使用 Python、MATLAB 和 Swift 等编程语言,Ultralytics 的知名项目包括 Ultralytics YOLO 和 yolov5,这些项目被广泛应用于计算机视觉领域。
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
此仓库未提供描述。
Earth observation software powered by Machine Learning (ML). Viewable in Google Maps and WebGL Earth.
此仓库未提供描述。
Ultralytics iOS Pods
此仓库未提供描述。
Ultralytics YOLOv8 🚀
Ultralytics YOLO11 🚀
Ultralytics YOLO26 🚀
Ultralytics 在 GitHub 上构建了多个与视觉人工智能相关的项目,主要包括 Ultralytics YOLO 系列和 JSON2YOLO,旨在为开发者提供高效的目标检测和图像处理工具。
Ultralytics 主要使用 Python、MATLAB、Jupyter Notebook、Swift、Rust 和 Dart 等编程语言,支持多种平台的开发和应用,涵盖了从深度学习到移动应用的广泛需求。
是的,ultralytics 的所有仓库都是公开的。任何人都可以访问这些项目,获取源代码和相关文档,以便于学习和使用其视觉 AI 技术。