You'll have to go through the list yourself to find the dataset that includes age of the face, or other demographics.
There is a long list of face databases at the Face Recognition Home Page. Searching for " age " on the page.
When benchmarking an algorithm it is recommendable to use a standard test data set for researchers to be able to directly compare ...
If you're willing to get your hands dirty, there are plenty of websites out there that post mugshots of arrested individuals. Many of these come with height and weight attributes. With a little scraping you could have as many photos as you could possibly want. You might have to deal with watermarks and artifact removal though.
As an example, here is a ...
There are a number of databases:
The Extended Yale Face Database B - It begins with the base name 'yaleB' and is followed by the two digit number signifying the subject number and then by the two digit number signifying the pose. The rest of the filename deals with the azimuth and elevation of the single light source direction.
Japanese Female Facial ...
Why wouldn't it be?
You can take pictures of people in public and post them online legally in the U.S..
A better question around this topic is:
"What are you planning to do with an open face recognition database of public people/celebrities?"
And an even better question for this topic:
"Are your plans involving creating an open face recognition ...
Instagram is a start. Just scrape and use opencv or similar to identify faces. Or, manually sort faces.
Instagram is a simple http site that can be crawled recursively. It's a matter of counting the images so tweak it and find a good balance. Nobody is going to take 1000 pictures of the same face so dont expect perfection.
In your particular case, the yearbook is a good idea, as well as police mugshots.
You'll find lots of face datasets, so here is a list of lists:
one list is here
and more resources here
and another list here
and another list here (scroll down to "Faces")
and you can find more with an internet search "face dataset"
One potential dataset is the Selfie Data Set
Selfie dataset contains 46,836 selfie images annotated with 36 different attributes divided into several categories as follows.
Gender: is female.
Age: baby, child, teenager, youth, middle age, senior.
Race: white, black, asian.
Face shape: oval, round, heart.
Facial gestures: smiling, frowning, mouth open, ...
Disclaimer: I'm not a lawyer and don't live in Germany.
I know of 2 possible legal issues with this (there might be more):
Bildrechte (or photograph rights). This says something along the lines that you're not allowed to publish images of someone's face when this might damage them in some way (privacy, financially, reputation, etc.).
The second is that ...