11 datasets found

Formats: JSON Tags: Facial Images

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  • BeautyGlow dataset

    The BeautyGlow dataset is used for training the BeautyGlow model.

  • Makeup-Wild dataset

    The Makeup-Wild dataset contains facial images with various poses and expressions as well as complex backgrounds to test methods in the real-world environment.

  • RAF-DB

    Facial Expression Recognition (FER) is a classification task that points to face variants. Hence, there are certain affinity features between facial expressions, receiving lit-

  • CelebAMask-HQ

    CelebAMask-HQ provides the parsing map of images in CelebA-HQ down-sampled to 512 × 512, where pixel-level annotation of 19 classes, including facial components and accessories,...

  • ETH-XGaze

    The ETH-XGaze dataset provides 80 subjects (i.e., 756,540 images) that consist of various illumination conditions, gaze and head pose ranges.

  • CelebA Dataset

    Model inversion attacks are a type of privacy attack that reconstructs private data used to train a machine learning model, solely by accessing the model.

  • VGGFace2

    The dataset used in the paper is VGGFace2, which is a dataset for face recognition tasks.

  • Bollywood dataset

    The Bollywood dataset is a collection of images of Bollywood celebrities with varying body mass indexes (BMIs). The dataset is used for face-to-BMI prediction.

  • Face-to-bmi

    Face-to-bmi: Using computer vision to infer body mass index on social media.

  • VisualBMI, VIP-Attributes, and Bollywood datasets

    Three publicly available BMI annotated facial image datasets assembled from social media, namely, VisualBMI, VIP-Attributes, and Bollywood datasets.

  • 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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