Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
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Updated
Oct 20, 2026 - Python
Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
Implementation of popular deep learning networks with TensorRT network definition API
Turn any computer or edge device into a command center for your computer vision projects.
🚀 Easier & Faster YOLO Deployment Toolkit for NVIDIA 🛠️
🔥🔥🔥TensorRT for YOLO26 (det/pose/seg/depth/obb/cls), YOLOv11,YOLOv10 YOLOv9,YOLOv8, ... 🚀🚀🚀 CUDA IS ALL YOU NEED. 🍎🍎🍎
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
🚀🚀🚀 YOLO series of PaddlePaddle implementation, PP-YOLOE+, RT-DETR, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOv10, YOLO11, YOLOX, YOLOv5u, YOLOv7u, YOLOv6Lite, RTMDet and so on. 🚀🚀🚀
dddmr_navigation is the 3D navigation solution for mobile robots includes mapping/localization/perception/path planning/controller/navigation stack
🚀 A high performance real-time object detection solution using YOLO11 ⚡️ powered by ONNX-Runtime
Python library for YOLO small object detection and instance segmentation
Ultralytics YOLO iOS app and Swift package for real-time Core ML inference across major computer vision tasks.
a GUI application, which uses YOLOs (YOLOv8, YOLO11, YOLOv13) for Object Detection/Tracking, Human Pose Estimation/Tracking from images, videos or camera
A Rust library integrated with ONNXRuntime, providing a collection of Computer Vison and Vision-Language models such as YOLO, FastVLM, and more.
This repository is forked from shouxieai/tensorRT_Pro, extending it to support a wide range of vision models with high-performance TensorRT C++ inference.
Converting COCO annotation (CVAT) to annotation for YOLO-seg (instance segmentation) and YOLO-obb (oriented bounding box detection)
Based on tensorrt v8.0+, deploy detection, pose, segment, tracking of YOLO11 with C++ and python api.
Samples code for world class Artificial Intelligence SoCs for computer vision applications.
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