If you are building an image sharing service or a social network mashup, it's likely that you will want to incorporate face-tagging in your images. Maybe you'd like to go a step further and automatically detect faces in an image, similar to Apple's iPhoto. A Romanian developer has developed an API to help detect faces in images and return the box coordinates so that you can build any kind of app you want.
There is nothing more satisfying than sharing that once in a lifetime shot with the world, except maybe seeing that it has been viewed by a few thousand people. These kinds of stats have been collected by Flickr for quite some time, and now they are available to developers thanks to some new functions added to the Flickr API.
We all know we can search web pages for text, but many services are looking to go above and beyond with features like location and face tagging. The big downside to these features is that they rely on end users have to manually enter in the appropriate data. Really, when was the last time you tagged all the people in the 200 photos you just uploaded to Facebook? To help automate the process of face recognition, face.com have just opened their API.