Image recognition of selfie images I developed an Android app that lets anyone upload pictures of encyclopedic things (bridges, museums, dishes, landscapes, paintings, etc) to Wikimedia Commons.

Unfortunately, 5% of the users find it funny to upload their own selfie. So I want to programmatically check whether the picture is a selfie or not, and if it probably is, warn them that selfies are off-topic.

As a data set, I have:


1000 pictures that I consider as undesirable selfies. It is in part subjective, but usually such pictures show one or two human faces taken from an arm's distance and random backgrounds.
1000 pictures that are not selfies (bridges, museums, dishes, etc, anything really). Tricky: this also includes pictures of famous people, usually they are easy to distinguish from a selfie because the persons are at a further distance. If you see an extended arm then you can be sure it is a selfie.


All pictures are taken with smartphones (hundreds of different models), they are JPG files of 2MB to 5MB in various sizes and ratios, in portrait or landscape mode.

I must use only open source, and the resulting detection code must run in less than a second on low-end Android phones.

What approach and steps does this task call for?
Implementation of Image Recognition techniques
There are lots of open source libraries available for the image recognition and classification.
You can make use of the "TensorFlow" library for image recognition and can be integrated with your android application.