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There are two phases of this iOS application, one which has the implementation of Resnet Model (CoreML Model) and also Hand State Detection Model which i made using Custom Vision.

Swift 100.00%
hand-detection object-detection resnet-50 core-ml machine-learning swift-4 ios-application xcode

object-detection-ios-coreml-resnet50-model-hand-detection-model's Introduction

Object-Detection-iOS-CoreML-Resnet50-Model-Hand-Detection-Model

There are two phases of this iOS application, one which has the implementation of Resnet Model (CoreML Model) and also Hand State Detection Model which i made using Custom Vision.

  • The Resnet Model is the model you can find online which is a coreml model implemented in the app.
  • The other Hand State Detection model is the one i created using my own dataset and creating the model using Custom Vision Api. Both the models are implemented in this application.

How it works

  • Give access to the Camera
  • The Resnet Model will identify objects that are in front of the camera.
  • When you switch the toggle switch it will switch to the Hand Model.
  • The hand model will identify the state of the hand in front of the camera i.e. Open Fist, Close Fist or no fist at all.

Note

  • Xcode 9 and Swift 4 was used for this project.
  • The CoreML model for the hand detection is included in the project repository.

How it looks like

(Gif)

objectdetection

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