YOLO 9000:更好、更快、更强大-实时对象检测。9000个班!
yolo9000 开源项目推荐(15 个)
yolo9000 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 全部 15
GitHub 共 15 个仓库,已全部展示k-means clustering with the Intersection over Union (IoU) metric as described in the YOLO9000 paper
Convolutional Neural Networks
Convolutional Neural Networks
YOLOv2 algorithm reimplementation with pytorch
Convolutional Neural Networks repository for all projects of Course 4 of 5 of the Deep Learning Specialization covering CNNs and classical architectures like LeNet-5, AlexNet, GoogleNet Inception Network, VGG-16, ResNet, 1x1 Convos, OverFeat, R-CNN, Fast R-CNN, Faster R-CNN, YOLO, YOLO9000, DeepFace, FaceNet and Neural Style Transfer.
YOLO Algorithm (Yolov2 model) trained on COCO Dataset for Object Detection
A PyTorch implementation of a YOLO v2 Object Detector
This Toolkit is the fastest way to train YOLO-v2 with your own custom dataset from scratch including annotating part
Hierarchical Loss function
Simple app showing how to use Yolo9k model with CoreML in Cinder
该项目在 GitHub 上没有填写描述
目标检测 - YOLO v2算法实现
This repo composed of summaries of 4 YOLO paper which are the papers that milestones for real-time object detection video
Parallel YOLO Object Detection Pipelines
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 15 个项目;原始页面见 https://github.com/topics/yolo9000。
- 该话题在 GitHub 上共有 15 个仓库, 本站收录的是其中最热门的 15 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 15 个项目累计 2342 Star,覆盖 5 种主要语言,数据更新于 2026-11-09。
- 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。