Answers.Body: <p>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 <a href="https://www.immersivelimit.com/tutorials/create-coco-annotations-from-scratch" rel="nofollow noreferrer">this link</a> where they process the annotation of COCO dataset.</p>
  <p>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</p>
  <p><a href="https://i.sstatic.net/EBCDS.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/EBCDS.png" alt="elephant" /></a></p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2021-05-20T08:01:31.597Z
Answers.LastActivityDate: 2021-05-20T08:01:31.597Z
Answers.UserDisplayName: CuCaRot
Body: <p>I have a dataset, where objects are very close to each other. So, the question is: what is the best approach to label them?</p>
  <p>There are two possible options:</p>
  <ol>
  <li>mark objects so that they will not intersect (it is difficult, surroundings are not included in the label area)</li>
  <li>mark a larger area of objects, but labels will intersect</li>
  </ol>
  <p>What is more practical?</p>
  <p><a href="https://i.sstatic.net/blQga.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/blQga.png" alt="enter image description here" /></a>
  <a href="https://i.sstatic.net/4iONc.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/4iONc.png" alt="enter image description here" /></a></p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2021-05-17T12:57:16.637Z
Comments.Text: I've always seen it not intersecting in examples of CV datasets. it's probably better if you can avoid intersection between labels. Yet I thinks the most important part when labelling is that it does not take you days and weeks to label your data, so you shoudn't worry if sometimes it intersects because you're drawing swiftly around your objects. Having an example of image in your post may help understand the situation and give a more precise answer than this one tho.
Comments.UserDisplayName: Ubikuity
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2021-05-17T16:31:54.640Z
Comments.Text: Hello. Welcome to AI SE. Maybe you should clarify what kind of task will your dataset be used for? Object detection?
Comments.UserDisplayName: nbro
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2021-05-19T20:44:04.770Z
Comments.Text: my dataset is proprietary, I give an idea of the problem, pictures were uploaded
Comments.UserDisplayName: Valery Noname
Tags: <convolutional-neural-networks><computer-vision><r-cnn><data-labelling><labeled-datasets>
Title: Is intersection of labels acceptable in computer vision?
UserDisplayName: Valery Noname
ThreadText: # Is intersection of labels acceptable in computer vision?
  
  (Asked by: username_0 on 2021-05-17)
  
  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?
  
  [![enter image description here](https://i.sstatic.net/blQga.png)](https://i.sstatic.net/blQga.png)
  [![enter image description here](https://i.sstatic.net/4iONc.png)](https://i.sstatic.net/4iONc.png)
  
  **Tags:** convolutional-neural-networks, computer-vision, r-cnn, data-labelling, labeled-datasets
  
  > **Comments:**
  > **username_1**: I've always seen it not intersecting in examples of CV datasets. it's probably better if you can avoid intersection between labels. Yet I thinks the most important part when labelling is that it does not take you days and weeks to label your data, so you shoudn't worry if sometimes it intersects because you're drawing swiftly around your objects. Having an example of image in your post may help understand the situation and give a more precise answer than this one tho.  
  > **username_2**: Hello. Welcome to AI SE. Maybe you should clarify what kind of task will your dataset be used for? Object detection?  
  > **username_0**: my dataset is proprietary, I give an idea of the problem, pictures were uploaded  
  
  ---
  
  ## 1 answers
  
  ### Answer by username_3 on 2021-05-20. Score: 1
  
  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](https://www.immersivelimit.com/tutorials/create-coco-annotations-from-scratch) 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](https://i.sstatic.net/EBCDS.png)](https://i.sstatic.net/EBCDS.png)
  
  
  ---
  
  