Answers.Body: <p>Giving this small rectangle to a model will probably not provide him enough information to identify what is inside this rectangle. An approach that could work would be to do image segmentation, having the identity of everything in the image, and then extract the label of the pixels in the rectangle.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2021-06-19T11:28:21.300Z
Answers.Text: Yeah. Or crop the region and compute only for the region of interest. This can speed up.
Answers.UserDisplayName: Sooryakiran Pallikulathil
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2021-05-19T15:01:04.020Z
Answers.LastActivityDate: 2021-05-19T15:01:04.020Z
Answers.UserDisplayName: bguetarni
Body: <p>I am studying computer vision for the past 3 months. I have come across the object identification problem, where given an image, CV would identify various parts in the image.</p>
  <p>If I give an image, and a rectangle coordinates, can CV identify the parts' names within that rectangle? For example, can I train a model to identify the parts in the below image (mountain, river, in this case)? The model should not identify other parts like flowers, sky, etc., as they come outside the rectangle).</p>
  <p>I tried searching but could not find similar problems. Can anyone give me a direction to solve this problem?</p>
  <p><a href="https://i.sstatic.net/sjbNp.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/sjbNp.png" alt="enter image description here" /></a></p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2022-10-11T23:48:32.910Z
Comments.Text: Relevant keywords: semantic segmentation, instance segmentation
Comments.UserDisplayName: EngrStudent
Tags: <machine-learning><computer-vision><image-recognition>
Title: Can we identify only the objects in specific parts of an image with computer vision?
UserDisplayName: White Castle
ThreadText: # Can we identify only the objects in specific parts of an image with computer vision?
  
  (Asked by: username_0 on 2020-09-03)
  
  I am studying computer vision for the past 3 months. I have come across the object identification problem, where given an image, CV would identify various parts in the image.
  
  If I give an image, and a rectangle coordinates, can CV identify the parts' names within that rectangle? For example, can I train a model to identify the parts in the below image (mountain, river, in this case)? The model should not identify other parts like flowers, sky, etc., as they come outside the rectangle).
  
  I tried searching but could not find similar problems. Can anyone give me a direction to solve this problem?
  
  [![enter image description here](https://i.sstatic.net/sjbNp.png)](https://i.sstatic.net/sjbNp.png)
  
  **Tags:** machine-learning, computer-vision, image-recognition
  
  > **Comments:**
  > **username_1**: Relevant keywords: semantic segmentation, instance segmentation  
  
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  ## 1 answers
  
  ### Answer by username_2 on 2021-05-19. Score: 0
  
  Giving this small rectangle to a model will probably not provide him enough information to identify what is inside this rectangle. An approach that could work would be to do image segmentation, having the identity of everything in the image, and then extract the label of the pixels in the rectangle.
  
  > **Comments:**
  > **username_3**: Yeah. Or crop the region and compute only for the region of interest. This can speed up.  
  
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