Body: <p>Is there a neural network that has architecture optimizations for segmenting only one class (object and background)? I have tried U-net but it is not providing good enough results.</p>
  
  <p>I am wondering if this can be due to the fact that my dataset has different image resolutions/aspect ratios. </p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2019-12-14T11:48:33.590Z
Comments.Text: When you say "only one class (object and background)", in fact you are saying two classes: the object class and the background class.
Comments.UserDisplayName: pasaba por aqui
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2019-12-14T12:02:52.457Z
Comments.Text: To allow us help you, you should describe a few more the context: kind of images, ... . Also the expected result.
Comments.UserDisplayName: pasaba por aqui
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2019-12-17T09:41:53.533Z
Comments.Text: @pasabaporaqui Thanks for reply. I'm trying to train a car segmentation. I have custom dataset I've collected. I expect it to have precise boundary around the car on an image.
Comments.UserDisplayName: Dusan J.
Tags: <neural-networks><convolutional-neural-networks><classification><image-segmentation><u-net>
Title: How to train image segmentation task with only one class?
UserDisplayName: Dusan J.
ThreadText: # How to train image segmentation task with only one class?
  
  (Asked by: username_0 on 2019-12-14)
  
  Is there a neural network that has architecture optimizations for segmenting only one class (object and background)? I have tried U-net but it is not providing good enough results.
  
  I am wondering if this can be due to the fact that my dataset has different image resolutions/aspect ratios.
  
  **Tags:** neural-networks, convolutional-neural-networks, classification, image-segmentation, u-net
  > **Comments:**
  > **username_1**: When you say "only one class (object and background)", in fact you are saying two classes: the object class and the background class.  
  > **username_1**: To allow us help you, you should describe a few more the context: kind of images, ... . Also the expected result.  
  > **username_0**: @pasabaporaqui Thanks for reply. I'm trying to train a car segmentation. I have custom dataset I've collected. I expect it to have precise boundary around the car on an image.  
  
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  ## 0 answers
  
  