Computer Vision - Groups

Specs on Faces (SoF) dataset

The Specs on Faces (SoF) dataset is a challenging dataset for face detection, recognition, and classiﬁcation.
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Face Recognition Technology (FERET) dataset

The Face Recognition Technology (FERET) dataset consists of 14,126 images for 1199 different persons.
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Celeba

The dataset used in this paper is a collection of images, and the authors used it to train and evaluate Variational Autoencoders (VAEs).
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CelebA: A Large-Scale Dataset and Network for Face Attribute Estimation

CelebA: A Large-Scale Dataset and Network for Face Attribute Estimation
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Deep learning face attributes in the wild

Deep learning face attributes in the wild
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Labeled Faces in the Wild (LFW) dataset

Labeled Faces in the Wild (LFW) dataset consists of 5749 subjects each having different number of images ranging from 1 to 530.
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Youtube Faces (YTF)

The Youtube Faces (YTF) dataset contains 3,424 videos belonging to 1,595 different identities.
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Labeled Face in the Wild (LFW)

The Labeled Face in the Wild (LFW) dataset contains 13,233 facial images belonging to 5,749 different individuals.
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AFHQ

The dataset used in the paper is a set of images from the AFHQ dataset, containing 1.5K images of different animal faces.
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FFHQ

Large scale datasets [18, 17, 27, 6] boosted text conditional image generation quality. However, in some domains it could be difficult to make such datasets and usually it could...
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10 datasets found