This app recognises 3 hand signs - fist, high five and victory hand [ rock, paper, scissors basically :) ] with live feed camera. It uses a HandSigns.mlmodel which has been trained using Custom Vision from Microsoft.

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…

YOLOv3 on COCO dataset in CoreML with Vision implemented for iPhone iOS in Swift

Core ML and Vision object classifier with a lightweight trained model. The model is trained and tested with Create ML straight from Xcode Playgrounds with the dataset I provided.

YOLO v3 on OpenImages dataset in CoreML with Vision implemented for iPhone iOS in Swift

Ingredients Detector

A small app that recognizes plants by a photo. The app was a test for me to understand Apple's CoreML Kit.

Demo app for gender classification of facial images using GenderNet, Vision and CoreML.

Recognise the image selected by the user, using Apple Core ML Framework (Inception3 Model)

Just build this simple app to check CoreML feature in MLTokyo Meetup