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Comments (6)

geyuying avatar geyuying commented on July 17, 2024

We use bounding boxes/areas, which is the second one in your measurements, and the result is consistent with the first measurement, which uses the pre-made scale label.

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majercakdavid avatar majercakdavid commented on July 17, 2024

According to what I have seen in the dataset, these labels are to large extent wrong and it would be really awesome if you would consider re-assigning them. Examples of wrong bounding boxes can be seen in the following images:
bboxes_areas_1
bboxes_areas_2
bboxes_areas_3
bboxes_areas_4
The dashed lines are the ones from annotation files. The thick ones represent bounding boxes inferred from the segmentations.

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geyuying avatar geyuying commented on July 17, 2024

Could you please provide names of the above four images?

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majercakdavid avatar majercakdavid commented on July 17, 2024

There are many more similar to these, I could not find all of the previously mentioned ones but these are the ones I have found:

  • 089587.jpg
    bboxes_areas_089587

  • 080658.jpg
    bboxes_areas_080658

  • 005696.jpg
    bboxes_areas_3

  • 008506.jpg
    bboxes_areas_4

Moreover some of the segmentations are either missing or the items are split without a reason according to my visual assessment, e.g.:

  • 49276.jpg
    bboxes_segm_49276

  • 088005.jpg
    bboxes_segm_088005

Thank for your response and collaboration!

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geyuying avatar geyuying commented on July 17, 2024

Bounding boxes referred from segmentation label are accurate enough. You can use them instead.
A part of masks are annotated coarsely while the others are obtained through refinement.

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karlos37 avatar karlos37 commented on July 17, 2024

How we can we refer bounding boxes from segmentation label exactly.I am facing similar issue of wrong bounding box annotations

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