Yolov8 Python Packages

ultralytics

Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

inference-sdk

Turn any computer or edge device into a command center for your computer vision projects.

qreader

Robust and Straight-Forward solution for reading difficult and tricky QR codes within images in Python. Powered by YOLOv8

qrdet

Robust QR Detector based on YOLOv8

ultralytics-opencv-headless

Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

inference

Turn any computer or edge device into a command center for your computer vision projects.

inference-gpu

Turn any computer or edge device into a command center for your computer vision projects.

inference-cli

Turn any computer or edge device into a command center for your computer vision projects.

inference-cpu

Turn any computer or edge device into a command center for your computer vision projects.

inference-core

Turn any computer or edge device into a command center for your computer vision projects.

autodistill

Images to inference with no labeling (use foundation models to train supervised models).

captcha-recognizer

单缺口/多缺口滑块验证码识别，pip安装使用, 可本地/服务器部署API

anylabeling

Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2/2.1+SAM3), MobileSAM!!

litealpr

Lite Automatic License Plate Recognition (ALPR) framework

mmyolo

OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

ml-pipes-core

Build composable ML pipelines that are explicit, traceable, and optimizable.

ml-pipes-tensor

Build composable ML pipelines that are explicit, traceable, and optimizable.

ml-pipes-vision

Build composable ML pipelines that are explicit, traceable, and optimizable.

anylabeling-gpu

Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2/2.1+SAM3), MobileSAM!!

mltu

Machine Learning Training Utilities (for TensorFlow and PyTorch)

juxtapose

juxtapose: Multi-Person Pose Tracking Inference SDK with RTMDet, YOLOv8, GDino, RTMPose (ONNX) & Trackers (ByteTrack & BotSORT) & Tapnet with custom ROIs + FastAPI GPU exe

ultralytics-dev

Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

patched-yolo-infer

Python library for YOLO small object detection and instance segmentation

ml-pipes-torch

Build composable ML pipelines that are explicit, traceable, and optimizable.