/PhotosObjectDetection

This app downloads random pics from Loren Picsum and can evaluate them and recognise based on Yolov3 trained

Primary LanguageSwiftMIT LicenseMIT

Photos Object Detection

Swift Version License: MIT

This app downloads random pics from Loren Picsum, evaluate them and recognise based on Yolov3 trained objects

Main goals for the v1.0

The main goal for this version is to create an app to access a remote server and simply show the list on the screen. Per each shown photo the system can evaluate and recognise objects inside them. Also the user can search for a specific type of photo from this list, if there are any, on detail the system will draw a "recognised area" surrounding the object and label it.

Actually, the main goal is:
- To apply MVVM architecture correctly.
- Create a Network layer that is easy to implement and expand it if is needed.
- Work with CoreML and ML Models and Vision Framework.

NOTE: App not finished yet

This app will implement:

  • URLSession
  • DispatchQueue
  • MVVM
  • NO Storyboard
  • CoreML
  • Vision

Samples

NOTE: App is not finished yet!


Author

Check my LinkedIn profile to know more about me. Feel free to contact for any question.

Rodrigo Candido