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@Prasad9
Created November 6, 2017 13:54
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A sample XML annotation file based on Pascal VOC format.
<annotation>
<folder>GeneratedData_Train</folder>
<filename>000001.png</filename>
<path>/my/path/GeneratedData_Train/000001.png</path>
<source>
<database>Unknown</database>
</source>
<size>
<width>224</width>
<height>224</height>
<depth>3</depth>
</size>
<segmented>0</segmented>
<object>
<name>21</name>
<pose>Frontal</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<occluded>0</occluded>
<bndbox>
<xmin>82</xmin>
<xmax>172</xmax>
<ymin>88</ymin>
<ymax>146</ymax>
</bndbox>
</object>
</annotation>
@danFromTelAviv
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the object class in this example is 21?

@goyder
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goyder commented Nov 13, 2018

@danFromTelAviv yep, that's correct.

@robertlugg
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Hi all, a couple of questions/suggestions:

  • are x and y values referenced the top left of the image?
  • Would it be possible to include an image that is represented by this file?
  • Is there a spec/description of the fields?

@shahmustafa
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Hi,
what are other formats, apart from Pascal VOC format?

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ghost commented Apr 4, 2019

What is the significance of these tags?
-name

  • pose
    -truncated
  • difficult
    -occluded
    are they necessary or optional tags, how are they interpreted in tfrecords?

@devika-28
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Quick question, am I going to need multiple annotation files for multiple images..?

@JordanMakesMaps
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Quick question, am I going to need multiple annotation files for multiple images..?

Yeah, each image has its own annotation file, where any instances within that image are listed in the above format. The image file and annotation file should have the same file name, except for the extensions.

@Seema1997
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Seema1997 commented Jan 19, 2020

Hello
I tried to generate pascal VOC XML file from CSV file and successfully I generated XML files. I have multiple vehicles in one image but problem I found in generated XML file is that in one XML file I got annotation of only one vehicle instead of all presented vehicles in that image. From attached CSV file you can see that first image has two vehicles like 00000001.jpg and 00000001.jpg. But you can see in XML file there is NO annotations for second 00000001.jpg vehicle. I have total 877 images. So my question is that what should I do if I have multiple vehicles in my single image??Also please correct me if I did anything wrong in my code.
I have attached my code here!! & also attached my csv file and generated XML file.

**MY CODE
def nameChange(x):
x = x.replace("/", "-")
return x
df['NAME_ID'] = df['NAME_ID'].apply(nameChange)
for i in range(0, 877):
height = df['YMAX'].iloc[i]-df['YMIN'].iloc[i]
width = df['XMAX'].iloc[i]-df['XMIN'].iloc[i]
depth = 3

annotation = ET.Element('annotation')
ET.SubElement(annotation, 'folder').text = 'images'
ET.SubElement(annotation, 'filename').text = str(df['NAME_ID'].iloc[i][81:])
ET.SubElement(annotation, 'path').text = '/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/'
source = ET.SubElement(annotation, 'source')
ET.SubElement(source, 'database').text = 'Unknown'
ET.SubElement(annotation, 'segmented').text = '0'
size = ET.SubElement(annotation, 'size')
ET.SubElement(size, 'width').text = str(width)
ET.SubElement(size, 'height').text = str(height)
ET.SubElement(size, 'depth').text = str(depth)
ob = ET.SubElement(annotation, 'object')
ET.SubElement(ob, 'name').text = 'Vehicle'
ET.SubElement(ob, 'pose').text = 'Unspecified'
ET.SubElement(ob, 'truncated').text = '0'
ET.SubElement(ob, 'difficult').text = '0'
bbox = ET.SubElement(ob, 'bndbox')
ET.SubElement(bbox, 'xmin').text = str(df['XMIN'].iloc[i])
ET.SubElement(bbox, 'ymin').text = str(df['YMIN'].iloc[i])
ET.SubElement(bbox, 'xmax').text = str(df['XMAX'].iloc[i])
ET.SubElement(bbox, 'ymax').text = str(df['YMAX'].iloc[i])

fileName = str(df['NAME_ID'].iloc[i][81:88])
tree = ET.ElementTree(annotation)
tree.write(fileName + ".xml", encoding='utf8')

####MY CSV FILE

NAME_ID | XMIN | YMIN | XMAX | YMAX | ID

/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000001.jpg | 326 | 805 | 363 | 819 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000001.jpg | 390 | 803 | 435 | 819 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000003.jpg | 839 | 879 | 915 | 902 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000010.jpg | 820 | 151 | 862 | 182 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000010.jpg | 748 | 71 | 784 | 97 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000010.jpg | 907 | 78 | 939 | 102 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000010.jpg | 483 | 198 | 569 | 239 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000010.jpg | 458 | 230 | 536 | 264 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000010.jpg | 649 | 272 | 669 | 293 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000010.jpg | 788 | 277 | 811 | 311 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000010.jpg | 919 | 331 | 954 | 354 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000010.jpg | 901 | 289 | 939 | 311 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000016.jpg | 86 | 668 | 128 | 697 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000021.jpg | 735 | 109 | 800 | 133 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000021.jpg | 745 | 21 | 788 | 39 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000025.jpg | 144 | 687 | 163 | 726 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000025.jpg | 391 | 681 | 415 | 732 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000025.jpg | 433 | 821 | 507 | 844 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000025.jpg | 477 | 991 | 530 | 1012 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000025.jpg | 596 | 761 | 645 | 784 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000025.jpg | 594 | 699 | 648 | 721 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000025.jpg | 507 | 682 | 525 | 728 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000025.jpg | 787 | 76 | 826 | 100 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000025.jpg | 787 | 110 | 827 | 133 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000026.jpg | 169 | 241 | 274 | 319 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000035.jpg | 27 | 635 | 76 | 663 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000035.jpg | 43 | 660 | 84 | 684 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000035.jpg | 487 | 318 | 531 | 348 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000035.jpg | 689 | 606 | 707 | 642 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000038.jpg | 166 | 8 | 198 | 60 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000038.jpg | 936 | 508 | 978 | 536 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000038.jpg | 948 | 473 | 991 | 501 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000038.jpg | 198 | 112 | 224 | 150 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000038.jpg | 653 | 19 | 728 | 56 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000038.jpg | 549 | 271 | 583 | 283 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000038.jpg | 198 | 205 | 234 | 228 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000038.jpg | 815 | 875 | 861 | 899 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000038.jpg | 918 | 798 | 948 | 846 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000038.jpg | 715 | 919 | 756 | 938 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000047.jpg | 416 | 177 | 462 | 197 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000047.jpg | 132 | 197 | 176 | 221 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000047.jpg | 134 | 223 | 172 | 237 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000047.jpg | 421 | 562 | 462 | 580 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000047.jpg | 516 | 696 | 535 | 736 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000047.jpg | 419 | 800 | 458 | 818 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000050.jpg | 57 | 332 | 91 | 346 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000050.jpg | 563 | 5 | 609 | 23 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000050.jpg | 633 | 184 | 657 | 228 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000050.jpg | 743 | 191 | 794 | 210 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000050.jpg | 754 | 135 | 796 | 155 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000050.jpg | 550 | 294 | 594 | 313 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000050.jpg | 743 | 219 | 803 | 240 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000050.jpg | 736 | 278 | 793 | 303 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000050.jpg | 362 | 443 | 383 | 496 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000050.jpg | 355 | 325 | 381 | 398 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000053.jpg | 569 | 39 | 641 | 67 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000053.jpg | 421 | 93 | 488 | 136 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000053.jpg | 175 | 41 | 217 | 59 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000053.jpg | 743 | 582 | 765 | 617 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000053.jpg | 916 | 576 | 938 | 618 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000053.jpg | 923 | 632 | 944 | 676 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000053.jpg | 162 | 846 | 178 | 877 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000057.jpg | 676 | 71 | 703 | 103 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000057.jpg | 647 | 158 | 684 | 233 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000057.jpg | 617 | 360 | 645 | 395 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000057.jpg | 551 | 460 | 637 | 508 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000057.jpg | 752 | 526 | 773 | 563 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000057.jpg | 67 | 574 | 112 | 603 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000057.jpg | 401 | 414 | 433 | 457 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000057.jpg | 429 | 413 | 459 | 452 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000057.jpg | 593 | 602 | 617 | 642 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000057.jpg | 842 | 463 | 883 | 480 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000057.jpg | 708 | 822 | 719 | 861 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000060.jpg | 119 | 263 | 217 | 332 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000075.jpg | 753 | 760 | 785 | 909 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000075.jpg | 943 | 521 | 977 | 574 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000076.jpg | 979 | 492 | 1015 | 509 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000076.jpg | 976 | 513 | 1014 | 531 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000078.jpg | 900 | 358 | 947 | 394 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000078.jpg | 901 | 398 | 954 | 443 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000078.jpg | 947 | 778 | 997 | 796 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000083.jpg | 0 | 360 | 55 | 412 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000090.jpg | 659 | 84 | 688 | 125 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000090.jpg | 676 | 136 | 719 | 187 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000090.jpg | 839 | -11 | 882 | 22 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000090.jpg | 409 | 200 | 431 | 238 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000090.jpg | -13 | 532 | 44 | 563 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000090.jpg | 552 | 876 | 590 | 905 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000092.jpg | 612 | 123 | 649 | 163 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000092.jpg | 1 | 528 | 39 | 544 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000097.jpg | 689 | 870 | 757 | 924 | Vehicle
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/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000102.jpg | 69 | 933 | 119 | 1004 | Vehicle
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/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000102.jpg | 977 | 713 | 1001 | 752 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000102.jpg | 980 | 758 | 1009 | 814 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000103.jpg | 424 | 15 | 443 | 64 | Vehicle
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/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000107.jpg | 168 | 447 | 192 | 515 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000107.jpg | 296 | 693 | 329 | 730 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000107.jpg | 98 | 671 | 130 | 695 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000109.jpg | 803 | 222 | 826 | 279 | Vehicle
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/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000592.jpg | 115 | 662 | 160 | 681 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000592.jpg | 321 | 651 | 341 | 690 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000592.jpg | 396 | 637 | 421 | 694 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000592.jpg | 448 | 650 | 476 | 701 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000592.jpg | 517 | 638 | 540 | 691 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000592.jpg | 477 | 569 | 522 | 587 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000592.jpg | 351 | 536 | 515 | 563 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000599.jpg | 584 | 476 | 759 | 509 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000599.jpg | 161 | 929 | 225 | 957 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000601.jpg | 707 | 473 | 729 | 511 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000601.jpg | 571 | 857 | 589 | 907 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000601.jpg | 734 | 458 | 766 | 521 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000601.jpg | 786 | 459 | 806 | 517 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000601.jpg | 813 | 463 | 836 | 528 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000601.jpg | 803 | 853 | 828 | 926 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000603.jpg | 883 | 101 | 907 | 157 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000609.jpg | 407 | 515 | 450 | 557 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000609.jpg | 372 | 517 | 415 | 559 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000609.jpg | 479 | 794 | 570 | 827 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000609.jpg | 945 | 237 | 987 | 262 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000609.jpg | 932 | 390 | 976 | 407 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000609.jpg | 847 | 786 | 884 | 800 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000609.jpg | 892 | 791 | 929 | 815 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000612.jpg | 502 | 520 | 590 | 550 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000612.jpg | 482 | 618 | 572 | 667 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000612.jpg | 793 | 636 | 879 | 678 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000612.jpg | 733 | 41 | 767 | 75 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000620.jpg | 467 | 31 | 499 | 47 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000620.jpg | 246 | 22 | 288 | 69 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000624.jpg | 456 | 788 | 485 | 832 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000627.jpg | 148 | 676 | 187 | 690 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000627.jpg | 140 | 699 | 187 | 721 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000628.jpg | 224 | 737 | 331 | 792 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000646.jpg | 843 | 950 | 893 | 974 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000648.jpg | 115 | 561 | 146 | 716 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000648.jpg | 187 | 610 | 202 | 649 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000648.jpg | 97 | 304 | 114 | 350 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000648.jpg | 195 | 135 | 213 | 171 | Vehicle
/home/elliot/Documents/mmdetection_object_detection_demo/data/vedai/train_images/00000648.jpg | 126 | 105 | 144 | 144 | Vehicle

##MY GENERATED XML FILE for ONE image. (no annotation for all available vehicles in one image)
00000001

Thanks!!!

@sainisanjay
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@Seema1997 did you solved your issue?

@Seema1997
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@sainisanjay No.If you solved this please help me to solve this.

@JordanMakesMaps
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For creating Pascal VOC style annotations I like to use this repo. It's very easy to go through each annotation you have and it's coordinates, and then save them as a xml.

@vidkr
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vidkr commented May 8, 2020

@JordanMakesMaps, how to understand the annotation of Pascal Voc, as a single XML file has only one annotation. For video how to consider it, since i am new to it, i am unable to understand how these annotations work with videos. And ICDAR15 video Pascal Voc contains what fomat ?

@kaanakdik
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What is best tool or method for creating our own segmentation dataset on pascal voc format?

@andihaki
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andihaki commented Sep 5, 2021

does .xml (pascal voc) support for facelandmark (68 keypoint for example)? any example xml file

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