You're currently viewing an old version of this dataset. To see the current version, click here.

iBugMask

Face parsing aims to predict pixel-wise labels for facial components of a target face in an image. Existing approaches usually crop the target face from the input image with respect to a bounding box calculated during pre-processing, and thus can only parse inner facial Regions of Interest (RoIs). Peripheral regions like hair are ignored and nearby faces that are partially included in the bounding box can cause distractions.

Data and Resources

This dataset has no data

Cite this as

Yiming Lin, Jie Shen, Yujiang Wang, Maja Pantic (2024). Dataset: iBugMask. https://doi.org/10.57702/e8nknuat

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2102.02717
Author Yiming Lin
More Authors
Jie Shen
Yujiang Wang
Maja Pantic