There are a lot of tutorials/ open source projects on how to use Vision and CoreML frameworks for Object Detection in real world using iOS apps using .mlmodels given by Apple. But seldom in reality, do we get a .mlmodel available suiting our use case. Here, I took up a Caffe model for the Oxford 102 flower dataset, which was converted to CoreML model using coremltools python package.
Receive bug reports that automatically capture all app details; network requests, repro steps, and session details. And get real-time crash reports with stack trace details up to the line that caused the crash to help you catch and fix issues much faster. It takes less than a minute to integrate the SDK and you can forward all issues to your favorite tools like: Jira, slack and many more. This is just the beginning!