DeepSpaceYoloDataset: Annotated Astronomical Images Captured with Smart Telescopes
Recent smart telescopes allow the automatic collection of a large quantity of data for specific portions of the night sky—with the goal of capturing images of deep sky objects (nebula, galaxies, globular clusters). Nevertheless, human verification is still required afterwards to check whether celest...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-01-01
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| Series: | Data |
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| Online Access: | https://www.mdpi.com/2306-5729/9/1/12 |
| _version_ | 1827372552335392768 |
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| author | Olivier Parisot |
| author_facet | Olivier Parisot |
| author_sort | Olivier Parisot |
| collection | DOAJ |
| description | Recent smart telescopes allow the automatic collection of a large quantity of data for specific portions of the night sky—with the goal of capturing images of deep sky objects (nebula, galaxies, globular clusters). Nevertheless, human verification is still required afterwards to check whether celestial targets are effectively visible in the images produced by these instruments. Depending on the magnitude of deep sky objects, the observation conditions and the cumulative time of data acquisition, it is possible that only stars are present in the images. In addition, unfavorable external conditions (light pollution, bright moon, etc.) can make capture difficult. In this paper, we describe DeepSpaceYoloDataset, a set of 4696 RGB astronomical images captured by two smart telescopes and annotated with the positions of deep sky objects that are effectively in the images. This dataset can be used to train detection models on this type of image, enabling the better control of the duration of capture sessions, but also to detect unexpected celestial events such as supernova. |
| first_indexed | 2024-03-08T11:01:22Z |
| format | Article |
| id | doaj.art-b0507195c6a74ccea8bc79e76692cd6a |
| institution | Directory Open Access Journal |
| issn | 2306-5729 |
| language | English |
| last_indexed | 2024-03-08T11:01:22Z |
| publishDate | 2024-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Data |
| spelling | doaj.art-b0507195c6a74ccea8bc79e76692cd6a2024-01-26T15:59:32ZengMDPI AGData2306-57292024-01-01911210.3390/data9010012DeepSpaceYoloDataset: Annotated Astronomical Images Captured with Smart TelescopesOlivier Parisot0Luxembourg Institute of Science and Technology, 5 Avenue des Hauts-Fourneaux, L-4362 Esch-sur-Alzette, LuxembourgRecent smart telescopes allow the automatic collection of a large quantity of data for specific portions of the night sky—with the goal of capturing images of deep sky objects (nebula, galaxies, globular clusters). Nevertheless, human verification is still required afterwards to check whether celestial targets are effectively visible in the images produced by these instruments. Depending on the magnitude of deep sky objects, the observation conditions and the cumulative time of data acquisition, it is possible that only stars are present in the images. In addition, unfavorable external conditions (light pollution, bright moon, etc.) can make capture difficult. In this paper, we describe DeepSpaceYoloDataset, a set of 4696 RGB astronomical images captured by two smart telescopes and annotated with the positions of deep sky objects that are effectively in the images. This dataset can be used to train detection models on this type of image, enabling the better control of the duration of capture sessions, but also to detect unexpected celestial events such as supernova.https://www.mdpi.com/2306-5729/9/1/12YOLOelectronically assisted astronomysmart telescope |
| spellingShingle | Olivier Parisot DeepSpaceYoloDataset: Annotated Astronomical Images Captured with Smart Telescopes Data YOLO electronically assisted astronomy smart telescope |
| title | DeepSpaceYoloDataset: Annotated Astronomical Images Captured with Smart Telescopes |
| title_full | DeepSpaceYoloDataset: Annotated Astronomical Images Captured with Smart Telescopes |
| title_fullStr | DeepSpaceYoloDataset: Annotated Astronomical Images Captured with Smart Telescopes |
| title_full_unstemmed | DeepSpaceYoloDataset: Annotated Astronomical Images Captured with Smart Telescopes |
| title_short | DeepSpaceYoloDataset: Annotated Astronomical Images Captured with Smart Telescopes |
| title_sort | deepspaceyolodataset annotated astronomical images captured with smart telescopes |
| topic | YOLO electronically assisted astronomy smart telescope |
| url | https://www.mdpi.com/2306-5729/9/1/12 |
| work_keys_str_mv | AT olivierparisot deepspaceyolodatasetannotatedastronomicalimagescapturedwithsmarttelescopes |