Answers.Body: <p>Trying to address all the questions asked in the end in the same order</p>
  
  <ul>
  <li><p>Most definitely possible.</p></li>
  <li><p>I would say its best you approach this with segmentation to start with.</p></li>
  <li><p>Just use a free GPU runtime notebook service such as Google Colab or Kaggle Kernels. But you would not directly be able to integrate with the device, you'd have to keep moving input and output from your drive (on Colab). There might be a better service for the needs described, but this is the best I know on this.</p></li>
  <li><p>Your background can be segmented and the segment can work on transforms such as maybe convolutions or affine transforms to be able to get the relevant information regarding the background.</p></li>
  </ul>
  
  <p>Hope this was helpful!</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2019-11-19T08:21:19.550Z
Answers.LastActivityDate: 2019-11-19T08:21:19.550Z
Answers.UserDisplayName: ashenoy
Body: <p>Is there has any method to train Tensorflow AI/ML that I focus on detecting background of image more than common objects?</p>
  
  <p>I'm newbie to ML field, but was assigned to do job that make an application which can detecting on showroom image/places and detecting on the floor, wall then find out what is the material/ceramic/marble/etc. product they are.</p>
  
  <p>Example: This is showroom picture,</p>
  
  <p><a href="https://i.sstatic.net/5xdwL.jpg" rel="nofollow noreferrer"><img src="https://i.sstatic.net/5xdwL.jpg" alt="enter image description here"></a></p>
  
  <p>the wall and the floor of showroom are using this product material</p>
  
  <p><a href="https://i.sstatic.net/OeXyr.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/OeXyr.png" alt="enter image description here"></a></p>
  
  <ul>
  <li>Is it possible to do something like I described?</li>
  <li>How to start with?</li>
  <li>If I don't want to install Tensorflow into my computer, is there a service that can make a model to use in the device? (my goal need to use the model in Android device)</li>
  <li>What method/type of ML should I approach 'Classification' or 'Object Detection' or other else?</li>
  </ul>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2019-11-19T15:23:29.930Z
Comments.Text: Hi and welcome to this community! Please, ask just **one question per post**, otherwise, your post could be closed as too broad.
Comments.UserDisplayName: nbro
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2019-11-20T09:32:09.307Z
Comments.Text: @nbro sorry, but what will you think if I just flood the board with many of questions or just gather them all into one post. So I can ask and clear my minds from self-learn questions as a newbie like me? Hope you understand the blinds people who come into new field of knowledge and try self-learn first but there's ton of technical terms that can't be cleared understand from read them once.
Comments.UserDisplayName: Natta Wang
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2019-11-20T12:32:00.457Z
Comments.Text: You should ask one question per post, if you are either a newbie or not. Furthermore, these questions is off-topic here.
Comments.UserDisplayName: nbro
Tags: <machine-learning><tensorflow><ai-basics>
Title: Is there has any method to train Tensorflow AI/ML that I focus on detecting background of image more than common objects?
UserDisplayName: Natta Wang
ThreadText: # Is there has any method to train Tensorflow AI/ML that I focus on detecting background of image more than common objects?
  
  (Asked by: username_0 on 2019-11-19)
  
  Is there has any method to train Tensorflow AI/ML that I focus on detecting background of image more than common objects?
  
  I'm newbie to ML field, but was assigned to do job that make an application which can detecting on showroom image/places and detecting on the floor, wall then find out what is the material/ceramic/marble/etc. product they are.
  
  Example: This is showroom picture,
  
  [![enter image description here](https://i.sstatic.net/5xdwL.jpg)](https://i.sstatic.net/5xdwL.jpg)
  
  the wall and the floor of showroom are using this product material
  
  [![enter image description here](https://i.sstatic.net/OeXyr.png)](https://i.sstatic.net/OeXyr.png)
  
  * Is it possible to do something like I described?
  * How to start with?
  * If I don't want to install Tensorflow into my computer, is there a service that can make a model to use in the device? (my goal need to use the model in Android device)
  * What method/type of ML should I approach 'Classification' or 'Object Detection' or other else?
  
  **Tags:** machine-learning, tensorflow, ai-basics
  
  > **Comments:**
  > **username_1**: Hi and welcome to this community! Please, ask just **one question per post**, otherwise, your post could be closed as too broad.  
  > **username_0**: @username_1 sorry, but what will you think if I just flood the board with many of questions or just gather them all into one post. So I can ask and clear my minds from self-learn questions as a newbie like me? Hope you understand the blinds people who come into new field of knowledge and try self-learn first but there's ton of technical terms that can't be cleared understand from read them once.  
  > **username_1**: You should ask one question per post, if you are either a newbie or not. Furthermore, these questions is off-topic here.  
  
  ---
  
  ## 1 answers
  
  ### Answer by username_2 on 2019-11-19. Score: 4 | Accepted answer
  
  Trying to address all the questions asked in the end in the same order
  
  * Most definitely possible.
  * I would say its best you approach this with segmentation to start with.
  * Just use a free GPU runtime notebook service such as Google Colab or Kaggle Kernels. But you would not directly be able to integrate with the device, you'd have to keep moving input and output from your drive (on Colab). There might be a better service for the needs described, but this is the best I know on this.
  * Your background can be segmented and the segment can work on transforms such as maybe convolutions or affine transforms to be able to get the relevant information regarding the background.
  
  Hope this was helpful!
  
  
  ---
  
  