I would like to develop a program that will output past and future face images, if a face image is supplied as input. That is, when I supply an image, the system should:

1. Recognize the face in it.
2. Calculate the approximate age from the input face image.
3. Output two face images, one with 10 year (just saying) younger from the current age and the other 10 year older.

To train my machine learning program I need a face dataset having multiple face images of people sorted according to age.

I would like to develop a program that will output past and future face images, if a face image is supplied as input. That is, when I supply an image, the system should:

1. Recognize the face in it.
2. Calculate the approximate age from the input face image.
3. Output two face images, one with 10 year (just saying) younger from the current age and the other 10 year older.

To train my machine learning program I need a face dataset having multiple face images of people sorted according to age.

1. Region - covers the whole globe.
2. License - licenses that will allow experimental development, testing.
3. Format - Files should be in image format (any format is acceptable), with the age of the person in filename. (Any other data format satisfying this criteria is accepeted).
4. Authority - Any authority is fine.

I know some basics of Machine Learning (very basics). But I'm not completely into it. So, to experiment it's power and capability, I would like to develop a program, that will output past and future face images, if a face image is supplied as input. That is, when I supply an image, the system should:

1. Recognize the face in it.
2. Calculate the approximate age from the input face image.
3. Output two face images, one with 10 year (just saying) younger from the current age and the other 10 year older.

To start with, I need a good face dataset. I think, the dataset should include multiple face images of a person sorted according to the age. Likewise face images of different persons should be added to the dataset. A good dataset will be a strong backbone for my program.

So, my question is:

1. Am I in the correct path?
2. What should be done for getting a good dataset in this scenario?

If this question doesn't belong to here, please share a community name where I can ask this.

Thanks.

I would like to develop a program that will output past and future face images, if a face image is supplied as input. That is, when I supply an image, the system should:

1. Recognize the face in it.
2. Calculate the approximate age from the input face image.
3. Output two face images, one with 10 year (just saying) younger from the current age and the other 10 year older.

To train my machine learning program I need a face dataset having multiple face images of people sorted according to age.