<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>

CC BY-SA 4.0
2018-10-05T23:44:47.067Z
2018-10-05T23:44:47.067Z
Martin Thoma
<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>

CC BY-SA 4.0
2020-08-02T12:51:15.903Z
2020-08-02T12:51:15.903Z
JVGD
<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>

<computer-vision><datasets><image-segmentation>
Which evaluation methods can I use for image segmentation?
Shehnaz Ameer
# 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


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## 2 answers

### Answer by username_1 on 2018-10-05. Score: 2

See:

> username_1: [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 username_1 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)


---

