<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>

CC BY-SA 4.0
2019-12-14T11:48:33.590Z
When you say "only one class (object and background)", in fact you are saying two classes: the object class and the background class.
pasaba por aqui
CC BY-SA 4.0
2019-12-14T12:02:52.457Z
To allow us help you, you should describe a few more the context: kind of images, ... . Also the expected result.
pasaba por aqui
CC BY-SA 4.0
2019-12-17T09:41:53.533Z
@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.
Dusan J.
<neural-networks><convolutional-neural-networks><classification><image-segmentation><u-net>
How to train image segmentation task with only one class?
Dusan J.
# 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

