Package profile

ultralytics

Summary: Ultralytics YOLO 🚀 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation, classification, and oriented object detection.
Author: Glenn Jocher <glenn.jocher@ultralytics.com>, Jing Qiu <jing.qiu@ultralytics.com>
License: GNU Affero General Public License v3 or later (AGPLv3+)
Homepage: https://ultralytics.com
Documentation: https://docs.ultralytics.com
Source: https://github.com/ultralytics/ultralytics
Number of releases: 801
First release: 0.0.13 on 2022-04-04
Latest release: 8.4.126 on 2026-08-21
Latest release size: 1.3 MB (pure Python wheel)

1 known vulnerabilityLatest: PYSEC-2024-154 — A number of releases of ultralytics contained malicious crypto miner software. View all →

Source: ClickPy

Ultralytics has 55 dependencies, 41 of which optional.

Packages depending on ultralytics (1).
Package	Optional	Group
anybioimage	true	complete

supervisionA set of easy-to-use utils that will come in handy in any Computer Vision project
pycocotoolsOfficial APIs for the MS-COCO dataset
imgaugImage augmentation library for deep neural networks
imutilsA series of convenience functions to make basic image processing functions such as translation, rotation, resizing, skeletonization, displaying Matplotlib images, sorting contours, detecting edges, and much more easier with OpenCV and both Python 2.7 and Python 3.
timmPyTorch Image Models
torchvisionimage and video datasets and models for torch deep learning
simpleitkSimpleITK is a simplified interface to the Insight Toolkit (ITK) for image registration and segmentation

supervisionA set of easy-to-use utils that will come in handy in any Computer Vision project
pycocotoolsOfficial APIs for the MS-COCO dataset
imgaugImage augmentation library for deep neural networks
imutilsA series of convenience functions to make basic image processing functions such as translation, rotation, resizing, skeletonization, displaying Matplotlib images, sorting contours, detecting edges, and much more easier with OpenCV and both Python 2.7 and Python 3.
timmPyTorch Image Models
torchvisionimage and video datasets and models for torch deep learning
simpleitkSimpleITK is a simplified interface to the Insight Toolkit (ITK) for image registration and segmentation

Summary: Ultralytics YOLO 🚀 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation, classification, and oriented object detection.
Author: Glenn Jocher <glenn.jocher@ultralytics.com>, Jing Qiu <jing.qiu@ultralytics.com>
License: GNU Affero General Public License v3 or later (AGPLv3+)
Homepage: https://ultralytics.com
Documentation: https://docs.ultralytics.com
Source: https://github.com/ultralytics/ultralytics
Number of releases: 801
First release: 0.0.13 on 2022-04-04
Latest release: 8.4.126 on 2026-08-21
Latest release size: 1.3 MB (pure Python wheel)

Ultralytics has 55 dependencies, 41 of which optional.

Packages depending on ultralytics (1).
Package	Optional	Group
anybioimage	true	complete

Source: ClickPy

1 known vulnerabilityLatest: PYSEC-2024-154 — A number of releases of ultralytics contained malicious crypto miner software. View all →