Demo app for gender classification of facial images using GenderNet, Vision and CoreML.
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Updated
Jul 18, 2019 - Swift
Demo app for gender classification of facial images using GenderNet, Vision and CoreML.
Take your food's photo and let the code guess it
Detect corn (sweet corn) or cone (road cones, traffic cones or pylons).
Simple application using Vision framework to detect the main object in an image.
Simple Swift projects to get started with iOS app development
Machine Learning App - Image Recognition
An iOS app that detects Kacchi Biriyani in images.
Um aplicativo de reconhecimento real-time do alfabeto em Libras para iOS.
Machine Learning iOS applications.
iOS App that guesses what you have drawn. It is creating using SwiftUI interface and CoreML. Model is trained using Google's Quick Draw Dataset
Combining the power of MobileNetV2 with the privacy of on-device learning. Benefit from real-time updates and efficient image processing, all while ensuring your data remains securely on your device. Experience precision, speed, and trust with PixeLearner.
Real time camera object detection with Machine Learning in swift. Basic introduction to Core ML, Vision and ARKit.
A SwiftUI app using CoreML & Vision to extract text content from the images and querying from the context. Underlying it uses Google's BERT model which converted into CoreML model
Rhythm Trainer based on the idea of users snapping their fingers while listening to music. Submitted and Won WWDC23 Swift Student Challenge. Code is the xCode Project. Final Submission Playground is the zip.
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