Answers.Body: <p>See:</p>
  
  <blockquote>
    <p>Martin Thoma: <a href="https://arxiv.org/pdf/1602.06541.pdf" rel="nofollow noreferrer">A Survey of Semantic Segmentation</a>, Section III</p>
  </blockquote>
  
  <p>Subsection A is about metrics and B is about datasets.</p>
  
  <p>Metrics include: accuracy, IoU, frequency weighted IoU, F-beta score, speed, ...</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2018-10-05T23:44:47.067Z
Answers.LastActivityDate: 2018-10-05T23:44:47.067Z
Answers.UserDisplayName: Martin Thoma
Answers.Body: <p>The paper referenced by Martin Thoma is the go-to for semantic segmentation. However I will also like to add the Panoptic Segmentation metric as an aggregated method to measure both the detection task and segmentation task of the model.</p>
  <p>It is a very well-known and widely used metric since it is the standard metric for COCO dataset (segmentation)</p>
  <p><a href="https://arxiv.org/abs/1801.00868" rel="nofollow noreferrer">This is the paper</a> where the metric is proposed.</p>
  <p>And here is the metric:</p>
  <p><a href="https://i.sstatic.net/DEJa8.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/DEJa8.png" alt="enter image description here" /></a></p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2020-08-02T12:51:15.903Z
Answers.LastActivityDate: 2020-08-02T12:51:15.903Z
Answers.UserDisplayName: JVGD
Body: <p>I implemented an image segmentation pipeline and I trained it on the <a href="https://en.wikipedia.org/wiki/DICOM" rel="nofollow noreferrer">DICOM dataset</a>. I compared the results of the model with manual segmentation to find the accuracy. Is there other methods for evaluation? </p>
  
Tags: <computer-vision><datasets><image-segmentation>
Title: Which evaluation methods can I use for image segmentation?
UserDisplayName: Shehnaz Ameer
ThreadText: # Which evaluation methods can I use for image segmentation?
  
  (Asked by: username_0 on 2018-10-05)
  
  I implemented an image segmentation pipeline and I trained it on the [DICOM dataset](https://en.wikipedia.org/wiki/DICOM). I compared the results of the model with manual segmentation to find the accuracy. Is there other methods for evaluation?
  
  **Tags:** computer-vision, datasets, image-segmentation
  
  ---
  
  ## 2 answers
  
  ### Answer by username_1 on 2018-10-05. Score: 2
  
  See:
  
  > Martin Thoma: [A Survey of Semantic Segmentation](https://arxiv.org/pdf/1602.06541.pdf), Section III
  
  Subsection A is about metrics and B is about datasets.
  
  Metrics include: accuracy, IoU, frequency weighted IoU, F-beta score, speed, ...
  
  
  ---
  
  ### Answer by username_2 on 2020-08-02. Score: 1
  
  The paper referenced by Martin Thoma is the go-to for semantic segmentation. However I will also like to add the Panoptic Segmentation metric as an aggregated method to measure both the detection task and segmentation task of the model.
  
  It is a very well-known and widely used metric since it is the standard metric for COCO dataset (segmentation)
  
  [This is the paper](https://arxiv.org/abs/1801.00868) where the metric is proposed.
  
  And here is the metric:
  
  [![enter image description here](https://i.sstatic.net/DEJa8.png)](https://i.sstatic.net/DEJa8.png)
  
  
  ---
  
  