b:botstest.Submit a resource ↗

Software / Open source

ultralytics · ultralytics

YOLO toolkit for detection, segmentation, pose estimation, and tracking.

ultralyticsyolov8yolodeep-learningimage-classification
Publisher repository ↗
ultralytics · ultralytics resource page screenshot
Resource screenshot · captured 2026-10-08 · visually reviewed

Overview

YOLO toolkit for detection, segmentation, pose estimation, and tracking.

Publisher summary: “Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking”

Use its repository to inspect the implementation, documentation and supported workflows. This directory record identifies the maintainer, code license and related resources; it does not claim that the project has been installed or tested on your robot.

Project information

Maintainer
ultralytics
Primary language
Python
Repository code license
AGPL-3.0
Model-weight license
Not recorded
Dataset license
Not recorded
Hardware design license
Not recorded
Maintenance
Not archived in the last recorded metadata
Last observed repository push
2026-10-07

Code licenses do not automatically cover model weights, datasets or hardware designs. Unrecorded license details require confirmation with the publisher.

Documentation sections

  • 📄 Documentation
  • CLI
  • Predict using a pretrained YOLO model (e.g., YOLO26n) on an image
  • Python
  • Load a pretrained YOLO26n model
  • Train the model on the COCO8 dataset for 100 epochs

Browse this resource’s categories

Explore related collections

Browse Software →