Images

MAFL

Multi-Attribute Facial Landmark

Introduced in Facial Landmark Detection by Deep Multi-task Learning2013

About this Dataset

The MAFL dataset contains manually annotated facial landmark locations for 19,000 training and 1,000 test images.

Source: Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance Image Source: http://mmlab.ie.cuhk.edu.hk/projects/TCDCN.html

Source: Facial Landmark Detection by Deep Multi-task Learning

Dataset Variants

MAFL

Papers1

Facial Landmark Detection by Deep Multi-task Learning

A novel tasks-constrained deep model is formulated, with task-wise early stopping to facilitate learning convergence and reduces model complexity drastically compared to the state-of-the-art method based on cascaded deep model.

Tasks

EDIT

Unsupervised Facial Landmark Detection

Similar Datasets

MNIST

CelebA

JFT-300M

Statistics

Papers

1

Tasks

4

Introduced

2013

License

Unknown

Modalities

Images