As Machine Learning becomes more commoditized and more available, there are more simple beginning tutorials and articles helping to spread starting steps. However, leveling up from an introduction to inclusion in your app requires more meaningful means of managing process.
In developing a feature using a custom CoreML model, we had buckets of data to manage, coordinate, and use. Using Turi Create to apply transfer learning for object detection is as simple as running a script. Go beyond the script and see what challenges exist in collecting, annotating, storing and using piles of pictures and reams of rectangles. Learn the practical implications of making a model, evaluating the effectiveness, and tuning for results.
See how we turned an innovation project into a shipping feature and the structure that grew to support it.