Use CoreMLTools to differentiate flower
-
Updated
Apr 5, 2021 - Swift
Use CoreMLTools to differentiate flower
Sample App to classify Simpsons using Keras
Gender & Age Detector IOS App 👨
Autonomous attendance system based on mobile applications, UHF RFID and NFC. Funded by Vietnam National University, Ho Chi Minh City (VNU-HCM).
This is an iOS app that identifies the flower from its photo and also gives detailed information about it.
Keras, Vision y CoreML para desarrollar una app que identifica los números de serie de las bicicletas del servicio BiciMAD
AnnotateEase - Easily and quickly label text data.
Final Draft for the 4th Year Project Submission. Saves image for each scan, along with the text detected into a PDF.
CoreML custom layer (GPU-accelerated) and converter for torchvision.ops.deform_conv2d
Repository to accompany the blog post
Introduction to XGBoost with an Implementation in an iOS Application
Repo accompanying the blog post "How to Deploy PyTorch Models with Core ML Conversion Issues"
Repo accompanying the blog post "How to Deploy A State-of-the-art PyTorch Model to iOS via Core ML (Part 3)".
Sample app that predicts the flower type on an image, using Core ML and the Oxford 102 category flower dataset.
Demo of using keras to generate a neural network and iOS 11 to run the converted model.
Hand-gesture recognition on iOS app using CoreML
A curated collection of iOS, ML, AR resources sprinkled with some UI additions
Add a description, image, and links to the coremltools topic page so that developers can more easily learn about it.
To associate your repository with the coremltools topic, visit your repo's landing page and select "manage topics."