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I have a dataset, where objects are very close to each other. So, the question is: what is the best approach to label them?

There are two possible options:

  1. mark objects so that they will not intersect (it is difficult, surroundings are not included in the label area)
  2. mark a larger area of objects, but labels will intersect

What is more practical?

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Valery Noname
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1 Answers1

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In my opinion, the second option will be more general. You can refer to some famous datasets for object detection task such as COCO or Pascal VOC, they usually accept the intersect annotations. As the image below, image from this link where they process the annotation of COCO dataset.

I think the reason is that the model will be easier to separate the intersect patterns in the bounding box than interpolate the missing patterns of the object to understand it

elephant

CuCaRot
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