6 datasets found

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...

A dataset for facial landmark tracking in-the-wild.

The dataset used in the paper is a large-scale graph dataset, consisting of users and shows with multi-attribute edges. The graph is constructed by selecting user IDs and side...

Aff-Wild2 is a large-scale in-the-wild database for affective behavior analysis, containing 564 videos with frame-level annotations for valence-arousal estimation, facial action...

The Aff-Wild dataset is a large-scale in-the-wild dataset for affect recognition, containing actual videos with a wide range of content.

The IJB-A dataset is a large-scale unconstrained face recognition dataset, containing 5,397 images and 2,042 videos from 500 subjects, captured from in-the-wild environment to...