YOLO v3 on OpenImages dataset in CoreML with Vision implemented for iPhone iOS in Swift
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Updated
Mar 19, 2019 - Swift
YOLO v3 on OpenImages dataset in CoreML with Vision implemented for iPhone iOS in Swift
Demo app for gender classification of facial images using GenderNet, Vision and CoreML.
Style transfer CoreML model
Recognise the image selected by the user, using Apple Core ML Framework (Inception3 Model)
Transform the object detection model trained on TensorFlow to iOS CoreML model type
A small app that recognizes plants by a photo. The app was a test for me to understand Apple's CoreML Kit.
🙂 PyTorch 모델을 coreML 모델로 변환해보자
Just build this simple app to check CoreML feature in MLTokyo Meetup
The browser that can predict where is the user gaze area in smart phone's screen.
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.
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.
Photo Assessment using Core ML and Metal.
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…
Largest list of models for Core ML (for iOS 11+)
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