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dataset
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1、YOLO葡萄叶片病害检测数据集(含1000张图片),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、训练案例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 4、如需 其他种类数据集 或 更多数量 请私信博主~
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YOLO葡萄叶片病害检测数据集(含1000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 41KB
3、YOLO训练教程Linux版本(根据案例修改训练自己的数据集).html 20KB
2、YOLO训练教程Windows版本(根据案例修改训练自己的数据集).html 16KB
1、YOLO环境搭建Windows版本.html 14KB
1、Linux之Ubuntu环境安装教程.html 9KB
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 20KB
trainval_list.txt 5KB
test_list.txt 4KB
val_list.txt 1KB
requirements.txt 892B
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资源评论
- Fai到家了2024-05-05非常有用的资源,可以直接使用,对我很有用,果断支持!
- weixin_522483232023-12-02资源有一定的参考价值,与资源描述一致,很实用,能够借鉴的部分挺多的,值得下载。
- 2301_763264562024-03-15资源内容详实,描述详尽,解决了我的问题,受益匪浅,学到了。
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