4 datasets found

LRW-1000 is a challenging Mandarin lip-reading dataset due to its large variations in scale, resolution, background clutter, and speaker attributes.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the OpenImages dataset to train their models.

The dataset used in the paper is MNIST variations, which consists of gray scale handwritten digits of size 28x28 with controlled factors of variations such as background noise,...

The MORPH dataset consists of 35,276 images of 8,835 Caucasian males, 10,941 images of 2,798 Caucasian females, 56,245 images of 8,839 African-American males, and 24,855 images...