TensorFlow Object Detection API, ML Engine, and Swift
TensorFlow Item Search API, ML Engine, and Swift Note: As of this writing there is no official TensorFlow library for Swift, I used Swift to build client applications for predictive requests against my model. That may change in the future, but Taylor has the final say. The TensorFlow Object Detection APO demo helps you identify the location of objects in the image which can lead to some super cool applications. But because I spend more time taking photos of people, rather than things, I want to see if the same technique can be applied to identify faces. Turns out it worked well! I used it to build the Taylor Swift detector in the picture above. In this post I will outline the steps to take the T-Swift images from the iOS app which predicts against the trained model: Pre flow streams: Resize, label, split them into training and test sets, and convert to Pascal VOC format Convert images to TFRecords to be fed into the Item Search API Train the model on the Cloud ML engine using MobileNet