Plate Detection detection dataset

<annotation> <folder></folder> <filename>brightnessngoaigiao10_jpg.rf.b9e618548d7489fbd4c16e9423195638.jpg</filename> <path>brightnessngoaigiao10_jpg.rf.b9e618548d7489fbd4c16e9423195638.jpg</path> <source> <database>roboflow.ai</database> </source> <size> <width>284</width> <height>178</height> <depth>3</depth> </size> <segmented>0</segmented> <object> <name>License_Plate</name> <pose>Unspecified</pose> <truncated>0</truncated> <difficult>0</difficult> <occluded>0</occluded> <bndbox> <xmin>81</xmin> <xmax>114</xmax> <ymin>105</ymin> <ymax>125</ymax> </bndbox> </object> <object> <name>License_Plate</name> <pose>Unspecified</pose> <truncated>0</truncated> <difficult>0</difficult> <occluded>0</occluded> <bndbox> <xmin>260</xmin> <xmax>273</xmax> <ymin>59</ymin> <ymax>67</ymax> </bndbox> </object> <object> <name>License_Plate</name> <pose>Unspecified</pose> <truncated>0</truncated> <difficult>0</difficult> <occluded>0</occluded> <bndbox> <xmin>216</xmin> <xmax>234</xmax> <ymin>37</ymin> <ymax>43</ymax> </bndbox> </object> <object> <name>License_Plate</name> <pose>Unspecified</pose> <truncated>0</truncated> <difficult>0</difficult> <occluded>0</occluded> <bndbox> <xmin>41</xmin> <xmax>50</xmax> <ymin>54</ymin> <ymax>61</ymax> </bndbox> </object> <object> <name>License_Plate</name> <pose>Unspecified</pose> <truncated>0</truncated> <difficult>0</difficult> <occluded>0</occluded> <bndbox> <xmin>72</xmin> <xmax>77</xmax> <ymin>35</ymin> <ymax>39</ymax> </bndbox> </object> </annotation>