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plant_leaf_diease

植物叶片病害识别数据集!

由于ai_challenger 比赛关闭,数据集已经无法获取。网上也找不到的相应数据集。 所以……本人根据kaggle数据集中的图片,自己手打了一些标签,使用轻量级json文件,供各位炼丹师使用。 kaggle数据集中有许多植物,只打了与自己实验相关的番茄数据集,时间精力有限,也只打了1016张(256*256)。 标签共有十个类别(十种病,包括健康)

附录:

  • 训练集:700 张 (每种类别70张) train.json
  • 验证集:300 张 (每种类别30张) val.json
  • 测试集:16 张
    test.json

image_id:图片名 diease_class:病害类别

  • "1":"Tomato Bacterial spot" 番茄细菌性斑点
  • "2":"Tomato Early blight" 番茄早疫病
  • "3":"Tomato healthy" 番茄健康
  • "4":Tomato Late blight 番茄晚疫病
  • "5":Tomato Leaf Mold 番茄叶霉病
  • "6":Tomato Septoria leaf spot 番茄斑叶病
  • "7": Tomato spider mite double spotted spider mite 番茄蜘蛛螨双斑点蜘蛛螨
  • "8":Tomato Target Spot 番茄靶斑病
  • "9":Tomato mosaic virus 番茄花叶病毒
  • "10":Tomato Yellow Leaf Curl Virus 番茄黄曲叶病毒

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