CarLens - Recognize and Collect Cars

Real-time Object Recognition using Apple's CoreML 2.0 and Vision API -

Deep Learning with Tensorflow/Keras: Digit recognition based on mnist-dataset and convolutional neural-network on iOS with CoreML

YOLOv3 for iOS implemented using CoreML.

여러가지 유명한 신경망 모델들을 제공합니다. (DCGAN, VAE, Resnet 등등)

Enhance your iOS app with the ability to see and interact with humans using the RGB camera.

iOS app that detects LaTeX symbols from drawings. Built using PencilKit, SwiftUI, Combine and CoreML for iOS 14(or greater) and macOS 11(or greater).

Face detection and recognition with CoreML and ARKit

Element detection with Vision Framework and CoreML

An open-source CoreML model trained on the ESC10 dataset

Automatic Over the Air Deployment of Improved Machine Learning Models to IoT Devices for Edge Processing

Implementation of Resnet-50 with and without CBAM in PyTorch v1.8. Implementation tested on Intel Image Classification dataset from https://www.kaggle.com/puneet6060/intel-image-classification.

🕶 Classify images offline using Watson Visual Recognition and Core ML.

🌅 iOS11 demo application for visual sentiment prediction.

An experimental CreateML project for predicting playing musical key and scale in realtime

WWDC 2017 Scholarship Submission by Phil Zet (Philipp Zakharchenko)

StyleGAN Encoder - converts real images to latent space

This app predicts the age of a person from the picture input using camera or photos gallery. The app uses Core ML framework of iOS for the predictions. The Vision library of CoreML is used here. The trained model fed to the system is AgeNet.

This project shows how to use CoreML and Vision with a pre-trained deep learning SSD (Single Shot MultiBox Detector) model. There are many variations of SSD. The one we’re going to use is MobileNetV2 as the backbone this model also has separable convolutions for the SSD layers, also known as SSDLite. This app can find the locations of several di…

Collection of samples and demos of features introduced in iOS 11