Dataset Open Access
Benchmark for Automatic Glottis Segmentation (BAGLS)
Gómez, Pablo;
Kist, Andreas M;
Schlegel, Patrick;
Berry, David A;
Chhetri, Dinesh K;
Dürr, Stephan;
Echternach, Matthias;
Johnson, Aaron M;
Kunduk, Melda;
Maryin, Youri;
Schützenberger, Anne;
Verguts, Monique;
Döllinger, Michael
BAGLS is a benchmark dataset intended to compare performance across automatic glottis segmentation methods.
Files
(17.6 GB)
| Name | Size | |
|---|---|---|
|
_readme.md
md5:1b09073bbffd2d9dbe5bfc31948b40a4 |
1.9 kB | Download |
|
raw.zip
md5:76f176eaeb4c33e9d1407c0698b9c86f |
13.4 GB | Download |
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test.zip
md5:4ed918e5adfd0b8e0bebdc3aa1265afd |
207.2 MB | Download |
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training.zip
md5:600d2d75e7786c0c0c92e247e517b5ae |
3.5 GB | Download |
|
videos.zip
md5:ac9be6d48c794efb912597b8070d7ed1 |
386.2 MB | Download |
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| Views | 881 | 625 |
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| Data volume | 3.1 TB | 2.9 TB |
| Unique views | 780 | 566 |
| Unique downloads | 336 | 299 |
Indexed in
- Publication date:
- April 22, 2020
- DOI:
-
- Keyword(s):
- high-speed videoendoscopy glottis segmentation benchmark
- Published in:
- Scientific Data: 7 pp. 186 (2052-4463).
- Related identifiers:
- Cited by
- 10.1038/s41597-020-0526-3 (Journal article)
- Communities:
- License (for files):
- Creative Commons Attribution Non Commercial Share Alike 4.0 International