<annotation>
<folder>images</folder>
<filename>tomato259.png</filename>
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<width>500</width>
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<object>
<name>tomato</name>
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<object>
<name>tomato</name>
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<bndbox>
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<ymin>184</ymin>
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</bndbox>
</object>
<object>
<name>tomato</name>
<pose>Unspecified</pose>
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<occluded>0</occluded>
<difficult>0</difficult>
<bndbox>
<xmin>18</xmin>
<ymin>167</ymin>
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<ymax>178</ymax>
</bndbox>
</object>
<object>
<name>tomato</name>
<pose>Unspecified</pose>
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<occluded>0</occluded>
<difficult>0</difficult>
<bndbox>
<xmin>16</xmin>
<ymin>152</ymin>
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</object>
<object>
<name>tomato</name>
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<bndbox>
<xmin>16</xmin>
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</bndbox>
</object>
<object>
<name>tomato</name>
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</object>
<object>
<name>tomato</name>
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<object>
<name>tomato</name>
<pose>Unspecified</pose>
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<bndbox>
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<ymin>105</ymin>
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</object>
<object>
<name>tomato</name>
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<bndbox>
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<object>
<name>tomato</name>
<pose>Unspecified</pose>
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<bndbox>
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<object>
<name>tomato</name>
<pose>Unspecified</pose>
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<bndbox>
<xmin>28</xmin>
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</object>
<object>
<name>tomato</name>
<pose>Unspecified</pose>
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<bndbox>
<xmin>27</xmin>
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</object>
<object>
<name>tomato</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
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<bndbox>
<xmin>78</xmin>
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</object>
<object>
<name>tomato</name>
<pose>Unspecified</pose>
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<difficult>0</difficult>
<bndbox>
<xmin>68</xmin>
<ymin>107</ymin>
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</object>
<object>
<name>tomato</name>
<pose>Unspecified</pose>
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<bndbox>
<xmin>63</xmin>
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</object>
<object>
<name>tomato</name>
<pose>Unspecified</pose>
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<bndbox>
<xmin>32</xmin>
<ymin>35</ymin>
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</object>
<object>
<name>tomato</name>
<pose>Unspecified</pose>
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<difficult>0</difficult>
<bndbox>
<xmin>23</xmin>
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</object>
<object>
<name>tomato</name>
<pose>Unspecified</pose>
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<xmin>18</xmin>
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</object>
<object>
<name>tomato</name>
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<object>
<name>tomato</name>
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<bndbox>
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</object>
<object>
<name>tomato</name>
<pose>Unspecified</pose>
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<bndbox>
<xmin>82</xmin>
<ymin>165</ymin>
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</object>
<object>
<name>tomato</name>
<pose>Unspecified</pose>
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<bndbox>
<xmin>73</xmin>
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</object>
<object>
<name>tomato</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<occluded>0</occluded>
<difficult>0</difficult>
<bndbox>
<xmin>71</xmin>
<ymin>194</ymin>
<xmax>79</xmax>
<ymax>205</ymax>
</bndbox>
</object>
<object>
<name>tomato</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
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目标检测数据集: 果树上的tomato西红柿图像检测数据【VOC标注格式、包含数据和标签】
共1793个文件
png:896个
xml:895个
py:1个
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目标检测数据集: 果树上的tomato西红柿图像检测数据【VOC标注格式、包含数据和标签】,数据保存按照文件夹保存,经测试,可直接用作目标检测数据集,无需额外处理。 【数据集详情】共800张左右数据和对应的xml标注文件,类别请查看classes文件,共1类:Gtomato 关于yolo实战检测教程:https://blog.csdn.net/qq_44886601/article/details/134878776 yolov5的改进实战:https://blog.csdn.net/qq_44886601/category_12605353.html
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目标检测数据集: 果树上的tomato西红柿图像检测数据【VOC标注格式、包含数据和标签】 (1793个子文件)
class_indices.json 23B
tomato784.png 273KB
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