首先目标检测的入门文档:知乎-目标检测
https://zhuanlan.zhihu.com/p/34142321
voc版本数据集制作:voc格式数据集
https://blog.csdn.net/ch_liu23/article/details/53558549
yolo主页:yolo home
https://pjreddie.com/darknet/yolo/
yolo AB代码:
https://github.com/AlexeyAB/darknet
翻译:知乎yolov3翻译
https://zhuanlan.zhihu.com/p/34945787
github开源:github开源
https://github.com/pjreddie/darknet
csdn论文笔记:论文笔记
https://blog.csdn.net/lilai619/article/details/79695109
YOLO1~3回顾:yolo合集
https://www.cnblogs.com/makefile/p/YOLOv3.html
介绍YOLOv2的一篇佳作:yolo9000
https://blog.csdn.net/jesse_mx/article/details/53925356
k-means解说:k-means算法详解
https://blog.csdn.net/hrsstudy/article/details/71173305
到底是怎么k-means的呢,这篇是我找了很久才提到是用gt box进行聚类的博文,感恩了哈哈:gt box k-means
https://blog.csdn.net/u011974639/article/details/78208896
鄙人自己做的一个yolo小汇总(主要是为了我的某门课程汇报...):yolo小ppt
https://pan.baidu.com/s/1jwgdJ9eEmn12fAOVMe5nUg
tf.keras 代码解说:很棒的资料 loss解说很赞
https://blog.csdn.net/T7SFOKzorD1JAYMSFk4/article/details/81212440
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