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yolov5
YOLOv5 π in PyTorch > ONNX > CoreML > TFLiteultralytics
NEW - YOLOv8 π in PyTorch > ONNX > OpenVINO > CoreML > TFLiteyolov3
YOLOv3 in PyTorch > ONNX > CoreML > TFLiteJSON2YOLO
Convert JSON annotations into YOLO format.xview-yolov3
xView 2018 Object Detection Challenge: YOLOv3 Training and Inference.flickr_scraper
Simple Flickr Image Scraperhub
Ultralytics HUB tutorials and supportvelocity
Structure From Motion (SFM) for vehicle speedstars
Count GitHub Stars βkinect
3D Scene Reconstruction in MATLAB with the Microsoft Kinect depth sensor.wave
WAveform Vector Exploitation (WAVE): Machine Learning for particle physics detectors.functions-matlab
Common functions employed throughout various Ultralytics projects.ultralytics.github.io
Ultralytics Docs at http://docs.ultralytics.competsys
LYSO-SiPM gamma scatter analysis from data collected by Ultralytics at PETSYS labs in Lisbon, Portugal, 2017.pip
Python package template repositorydocs
Ultralytics Docs at https://docs.ultralytics.com/.github
Ultralytics GitHub default .github repository.xview-docker
xView 2018 Object Detection Challenge: Docker container submission codemnist
MNIST Sandbox for testing neural network architectures.agm2015
AntiNeutrino Global Map (AGM) 2015 production codeminiTimeCube
miniTimeCube (mTC) antineutrino detector simulation and analysis.msvm
Minimum Separation Vector Mapping (MSVM)ntc
Neutron TimeCube (NTC) neutron detector simulation and analysissandd
magellan
Earth observation software powered by Machine Learning (ML). Viewable in Google Maps and WebGL Earth.package-framework
Repository structure framework for future Ultralytics projectsios_screenshots
mkdocs
MkDocs plugin for Ultralytics Docs at https://docs.ultralytics.comnudar
NeUtrino Detection and Ranging (NUDAR): earth modeling and neutrino detection simulation softwarehost
iSky
handbook
A guide to Ultralytics' mission, vision, values, and practices, providing key insights and resources for aligning with our goals.yolo-ios-app
Ultralytics YOLO iOS App source code for using YOLO in your own iOS apps!Love Open Source and this site? Check out how you can help us