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CACD

Cross-Age Celebrity Dataset

Introduced in Cross-Age Reference Coding for Age-Invariant Face Recognition and Retrieval2013

About this Dataset

The Cross-Age Celebrity Dataset (CACD) contains 163,446 images from 2,000 celebrities collected from the Internet. The images are collected from search engines using celebrity name and year (2004-2013) as keywords. Therefore, it is possible to estimate the ages of the celebrities on the images by simply subtract the birth year from the year of which the photo was taken.

Source: https://bcsiriuschen.github.io/CARC/ Image Source: https://www.pkuml.org/resources/pku-vehicleid.html

Source: Cross-Age Reference Coding for Age-Invariant Face Recognition and Retrieval

Dataset Variants

CACD

Papers1

Cross-Age Reference Coding for Age-Invariant Face Recognition and Retrieval

A novel coding framework called Cross-Age Reference Coding (CARC), which is able to encode the low-level feature of a face image with an age-invariant reference space and can achieve state-of-the-art performance on both the dataset and other widely used dataset for face recognition across age, MORPH dataset.

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activeloopai/Hub

tfpytorch

Tasks

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Age Estimation

Similar Datasets

MNIST

CelebA

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Statistics

Papers

1

Tasks

2

Introduced

2013

License

Custom (research-only)

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