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1、YOLO肺结节目标检测数据集,真实场景的高质量图片数据,数据场景丰富。使用lableimg标注软件标注,标注框质量高,含voc(xml)、coco(json)和yolo(txt)三种格式标签,分别存放在不同文件夹下,可以直接用于YOLO系列的目标检测。 2、附赠YOLO环境搭建、训练教程和数据集划分脚本,可以根据需求自行划分训练集、验证集、测试集。 3、数据集详情展示和更多数据集下载:https://blog.csdn.net/m0_64879847/article/details/132301975
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YOLO肺结节目标检测数据集(含10000张图片)+对应voc、coco和yolo三种格式标签+划分脚本+训练教程.rar (2000个子文件)
1. 三个数据集划分脚本使用说明.html 46KB
2、YOLO环境搭建Linux版本.html 40KB
3、YOLO训练教程Linux版本(根据案例修改训练自己的数据集).html 19KB
2、YOLO训练教程Windows版本(根据案例修改训练自己的数据集).html 14KB
1、YOLO环境搭建Windows版本.html 13KB
1、Linux之Ubuntu环境安装教程.html 8KB
训练集、验证集、测试集划分脚本(图片标签划分写入新文件夹).py 3KB
训练集、验证集划分脚本(图片标签划分写入新文件夹).py 3KB
split_train_val生成ImageSets下txt文件划分脚本.py 1KB
train_list.txt 202KB
trainval_list.txt 51KB
test_list.txt 40KB
val_list.txt 10KB
requirements.txt 892B
8187.xml 997B
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