Label360: An Annotation Interface for Labeling Instance-Aware Semantic Labels on Panoramic Full Images
Journal
SIGGRAPH Asia 2020 Posters. SA 2020
Date Issued
2020
Author(s)
Abstract
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. ? 2020 Owner/Author.
Subjects
Image segmentation; Interactive computer graphics; Semantics; Annotation tool; Consistency tests; Distortion-free; Instance matching; Labeling efficiencies; Postprocessing algorithms; Semantic segmentation; Spherical images; Image annotation
Type
conference paper