Ultralytics Python Packages

ultralytics

Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

ultralytics-thop

Profile PyTorch models for FLOPs and parameters, helping to evaluate computational efficiency and memory usage.

yolov5

Packaged version of ultralytics/yolov5 + many extra features

ultralytics-opencv-headless

Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

mkdocs-ultralytics-plugin

MkDocs plugin for Ultralytics Docs at https://docs.ultralytics.com

ultralytics-actions

Ultralytics GitHub Actions

ultralytics-yolov5

Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite

openadapt

Open Source Generative Process Automation (i.e. Generative RPA). AI-First Process Automation with Large ([Language (LLMs) / Action (LAMs) / Multimodal (LMMs)] / Visual Language (VLMs)) Models

yolo-scout

A repository to analyse the quality of your YOLO dataset

modeyolo

ModeYOLO: Elevate image processing with this Python package. Seamlessly perform color space transformations, simplify dataset modification for deep learning, and leverage OpenCV and NumPy. Ideal for YOLO projects, computer vision tasks, and efficient machine learning workflows.

zmkj-rknn-yolov8

Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

trtyolo-export

🚀 Easier & Faster YOLO Deployment Toolkit for NVIDIA 🛠️

tensorrt-yolo

🚀 Easier & Faster YOLO Deployment Toolkit for NVIDIA 🛠️

yolov5-inference

Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite

ultralytics-dev

Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

labelme-to-yolo

Python library to convert LabelMe JSON annotations into YOLO (YOLOv5/YOLOv7) format, including automatic dataset splitting and structure generation for computer vision workflows.

asone

Easy & Modular Computer Vision Detectors, Trackers & SAM - Run YOLOv9,v8,v7,v6,v5,R,X in under 10 lines of code.

ymsyolo10

Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

yolo26-kit

YOLO26 ↔ YOLOv8-pipeline bridge — shape adapters, decoder, letterbox, ORT wrapper. Python + TypeScript.

visiofirm

VisioFirm: Cross-Platform AI-assisted Annotation Tool for Computer Vision

syml-ultralytics

Ultralytics YOLO 🚀 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification.

capx

solve recaptcha using Selenium + YOLO

waffle-hub

Waffle hub

ultralytics-dist-yolo

Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking