<p>If actual photographs are not required, <a href="https://stellarium.org/" rel="nofollow noreferrer">Stellarium</a> could render a suitable set of reference images.
Use the Perspective (<a href="https://en.wikipedia.org/wiki/Gnomonic_projection" rel="nofollow noreferrer">gnomonic</a>) projection for the closest match to a photograph, and display only the features you want.
Its scripting capability may help you avoid repeating some manual operations.</p>
<p>Here are a sample pair of Stellarium images.
The first has only synthetic stars, which the online plate-solving service Astrometry.net successfully <a href="http://nova.astrometry.net/user_images/3903926#annotated" rel="nofollow noreferrer">recognizes</a>:</p>
<p><img src="https://i.sstatic.net/SjlUb.png" alt="18h+0, stars only" /></p>
<p>The second is the same part of the sky with only constellation labels and boundaries:</p>
<p><img src="https://i.sstatic.net/yeOH8.png" alt="18h+0, constellations" /></p>
<p>The unlabeled region between Ophiuchus and Scutum is <a href="https://en.wikipedia.org/wiki/Serpens" rel="nofollow noreferrer">Serpens</a> Cauda,
part of the only discontinuous one of the 88 standard <a href="https://en.wikipedia.org/wiki/IAU_designated_constellations" rel="nofollow noreferrer">constellations</a>.</p>

CC BY-SA 4.0
2020-08-16T05:34:42.170Z
This could be a good method but can you tell how can I render good enough resolution pictures from Stellarium especially if pictures are needed in bulk
Harsh Banka
CC BY-SA 4.0
2020-08-16T19:27:09.273Z
@HarshBanka you haven't really explained what "good enough resolution" means. **brightness:** Do you need deep sky survey images that can see way farther and dimmer than humans and cellphones, or only images that reflect what people and hand-held cameras are likely to pick up? **resolution:** Do you need super high resolution images through telescopes, or only images of similar angular resolution to what people and hand-held cameras can achieve? Is it possible to clarify those things back in your original question, rather than in comments only? Thanks!
uhoh
CC BY-SA 4.0
2020-08-15T20:15:06.560Z
2020-08-15T20:15:06.560Z
Mike G
<p>I need to develop an Machine Learning (ML) model for predicting constellation seen in a picture taken from a mobile. This I need to develop from scratch. Firstly, I need help finding a database which can provide me <strong>images of stars with constellations labelled</strong> in it. Those can be from a ground based telescope or from a camera. This is going to be a multi-labelled problem. Even after spending hours of searching I can't find a good dataset. I want a dataset with several images (preferably a few 100), each labelled with the constellation seen in them. Then I am planning to refine them and use TensorFlow for prediction. I am a grade 12 student and still new to ML, so I really need your help.</p>

<photography><constellations><sky-survey><image-processing>
Searching dataset for Constellation detection
Harsh Banka
# Searching dataset for Constellation detection

(Asked by: username_0 on 2020-08-15)

I need to develop an Machine Learning (ML) model for predicting constellation seen in a picture taken from a mobile. This I need to develop from scratch. Firstly, I need help finding a database which can provide me **images of stars with constellations labelled** in it. Those can be from a ground based telescope or from a camera. This is going to be a multi-labelled problem. Even after spending hours of searching I can't find a good dataset. I want a dataset with several images (preferably a few 100), each labelled with the constellation seen in them. Then I am planning to refine them and use TensorFlow for prediction. I am a grade 12 student and still new to ML, so I really need your help.

**Tags:** photography, constellations, sky-survey, image-processing


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## 1 answers

### Answer by username_1 on 2020-08-15. Score: 1

If actual photographs are not required, [Stellarium](https://stellarium.org/) could render a suitable set of reference images.
Use the Perspective ([gnomonic](https://en.wikipedia.org/wiki/Gnomonic_projection)) projection for the closest match to a photograph, and display only the features you want.
Its scripting capability may help you avoid repeating some manual operations.

Here are a sample pair of Stellarium images.
The first has only synthetic stars, which the online plate-solving service Astrometry.net successfully [recognizes](http://nova.astrometry.net/user_images/3903926#annotated):

![18h+0, stars only](https://i.sstatic.net/SjlUb.png)

The second is the same part of the sky with only constellation labels and boundaries:

![18h+0, constellations](https://i.sstatic.net/yeOH8.png)

The unlabeled region between Ophiuchus and Scutum is [Serpens](https://en.wikipedia.org/wiki/Serpens) Cauda,
part of the only discontinuous one of the 88 standard [constellations](https://en.wikipedia.org/wiki/IAU_designated_constellations).

> **Comments:**
> **username_0**: This could be a good method but can you tell how can I render good enough resolution pictures from Stellarium especially if pictures are needed in bulk  
> **username_2**: @username_0 you haven't really explained what "good enough resolution" means. **brightness:** Do you need deep sky survey images that can see way farther and dimmer than humans and cellphones, or only images that reflect what people and hand-held cameras are likely to pick up? **resolution:** Do you need super high resolution images through telescopes, or only images of similar angular resolution to what people and hand-held cameras can achieve? Is it possible to clarify those things back in your original question, rather than in comments only? Thanks!  

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