| Autor: |
Liang-Han Lin, Tse-Han Lin, Ming Ouhyoung, Man-Hsin Kao, Evelyn Chen, Hao-Kai Wen |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
SIGGRAPH Asia Posters |
| DOI: |
10.1145/3415264.3425437 |
| Popis: |
We developed an annotation tool—Label360 to solve the distortion and instance matching issues across different viewing aspects in spherical image annotations. A post-processing algorithm was introduced to generate distortion-free annotations on equirectangular images. Two experiments were conducted to examine the consistency of annotations using Label360 and to compare labeling efficiency with LabelMe. Our tool obtained a mean intersection over union (mIoU) of 0.92 in the consistency test and has 1.45x the annotation speed of LabelMe. This demonstrates that Label360 is efficient for annotating instance-aware semantic segmentation labels on spherical images. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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