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CelebA

CelebFaces Attributes Dataset

Introduced in Deep Learning Face Attributes in the Wild2014

About this Dataset

CelebFaces Attributes dataset contains 202,599 face images of the size 178×218 from 10,177 celebrities, each annotated with 40 binary labels indicating facial attributes like hair color, gender and age.

Source: Show, Attend and Translate: Unpaired Multi-Domain Image-to-Image Translation with Visual Attention Image Source: http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html

Source: Deep Learning Face Attributes in the Wild

Dataset Variants

CelebA-wildCelebA UnalignedCelebA-TestCelebA-facesCelebA-5CelebA AlignedCelebA 64x64CelebA 256x256CelebA 128 x 128CelebA + AFLW UnalignedCelebA 128x128CelebA

Papers1

Deep Learning Face Attributes in the Wild

A novel deep learning framework for attribute prediction in the wild that cascades two CNNs, LNet and ANet, which are fine-tuned jointly with attribute tags, but pre-trained differently.

Dataset Loaders

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pytorch/vision

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activeloopai/Hub

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tensorflow/datasets

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Tasks