适用于YOLO系列模型(如YOLOv11、YOLOv10、YOLOv9、YOLOv8、YOLOv7、YOLOv6、YOLOX、YOLOv5)的TensorRT工具;支持NMS插件功能。
yolo12 开源项目推荐(34 个)
yolo12 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 34 个仓库基于 AI 的适用于所有 FPS 游戏的自动瞄准机器人
基于AI的瞄准机器人,适用于所有FPS和TPS游戏
Train Yolo with C#
Web-based real-time object detection for YOLO model.
这是YOLO v11对象检测模型的高级Rust实现。
EasyShield Anti Spoofing AI Model for edge devices (State-of-the-art) performance (Open Source) Deep Learning Model
YOLOv9 / YOLOv10/YOLO11/YOLO12 - Players Identification of CS2
Real-time monitoring, object tracking, and line-crossing detection for CCTV camera streams.
YOLO and LiteRT.js to find and recognize objects in image, video, and webcam content.
Automate the YOLO training by Ultralytics for custome COCO datasets
model training example
Explore real-time object detection with IoTKITs. This project demonstrates how AI and computer vision work together to detect and recognize objects for practical IoT solutions.
In this project, we built a real-time object detection and tracking system using YOLOv12, leveraging the COCO dataset for its diverse object classes. It combines state-of-the-art detection accuracy with live tracking capabilities for seamless and efficient performance.
2026 IEEE Conference on Artificial Intelligence (CAI26) · A modular Computer Vision and NLP pipeline for automated extraction of personal names from broadcast news videos, combining YOLOv12-based news graphic detection, OCR text recognition, and NER models to generate structured name timelines.
AIegis Beam (formerly known as Mini C-RAM (Counter Rocket, Artillery & Mortar)), the real-time drone detection/tracking system (university capstone project).
Browser-only AI library for real-time object detection (YOLOv8n / YOLOv12n / YOLOv26n, MediaPipe EfficientDet-Lite0) and 3D pose estimation (RTMW3D-X COCO-WholeBody 133-keypoint 3D, InstantHMR MHR70 mesh) on ONNX Runtime Web — wasm, WebGL, WebGPU, WebNN.
YOLO12m-based classroom behaviour detection and ByteTrack video tracking system for identifying student activities such as working, standing, phone use, sleeping, bowed-down posture, and non-attentive behaviour from classroom images and videos.
Real-time Road Sign Detection using YOLO12 with a web demo
A YOLO model is fine-tuned to detect explicit and harmful content in images and videos. The model’s bounding box coordinates are used by a Python script to automatically blur the identified content.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/yolo12。
- 该话题在 GitHub 上共有 34 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 3600 Star,覆盖 7 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。