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
(4.1 GB)
| Name | Size | |
|---|---|---|
|
readme.md
md5:3269f75559eab43d204d7ec56cce181d |
1.4 kB | Download |
|
test.zip
md5:4ed918e5adfd0b8e0bebdc3aa1265afd |
207.2 MB | Download |
|
training.zip
md5:600d2d75e7786c0c0c92e247e517b5ae |
3.5 GB | Download |
|
videos.zip
md5:4345571247d75980307f31e82035d181 |
383.2 MB | Download |
662
511
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downloads
| All versions | This version | |
|---|---|---|
| Views | 662 | 58 |
| Downloads | 511 | 18 |
| Data volume | 2.7 TB | 29.5 GB |
| Unique views | 588 | 55 |
| Unique downloads | 285 | 8 |
Indexed in
- Publication date:
- September 2, 2019
- DOI:
-
- Keyword(s):
- high-speed videoendoscopy glottis segmentation benchmark
- Communities:
- License (for files):
- Creative Commons Attribution Non Commercial Share Alike 4.0 International