Did you even read the readme.md? 6 lines from the top
"We're releasing this framework because we're excited by the power of this approach for general image recognition, especially when it can run locally on low-power devices. It gives your iPhone the ability to see, and I can't wait to see what applications that helps you build."
Why all the negativity, everyone? This is an impressive little framework - if you need to have the source code, it's not for you, but as-is, it is already useful for - at the very least - personal image recognition projects.
recognition and detection are two different things - for detection deep networks are performing as state of the art. Recent for recognition they are also doing well. However, one main difference is that many recognition tasks traditionally have very few images per object/user (especially when you're testing over hundreds or thousands of subjects). DeepFace by facebook showed that deep nets can be useful in recognition but set a rather unreal (at the moment) president that 100s-1000s of images can be used per subject.
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[ 3.3 ms ] story [ 36.5 ms ] threadjetpac looks interesting too.
Any idea why they released this framework?
"We're releasing this framework because we're excited by the power of this approach for general image recognition, especially when it can run locally on low-power devices. It gives your iPhone the ability to see, and I can't wait to see what applications that helps you build."
I love his excitement in his blog post and video about it where he trains a program to recognize his cat: http://petewarden.com/2014/04/08/how-to-add-a-brain-to-your-...
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Cheers!